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@ -89,35 +89,37 @@ c++ -I. -I./examples -O3 -std=c++11 -pthread examples/main/main.cpp whisper.o gg
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usage: ./main [options] file0.wav file1.wav ...
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options:
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-h, --help [default] show this help message and exit
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-t N, --threads N [4 ] number of threads to use during computation
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-p N, --processors N [1 ] number of processors to use during computation
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-ot N, --offset-t N [0 ] time offset in milliseconds
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-on N, --offset-n N [0 ] segment index offset
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-d N, --duration N [0 ] duration of audio to process in milliseconds
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-mc N, --max-context N [-1 ] maximum number of text context tokens to store
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-ml N, --max-len N [0 ] maximum segment length in characters
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-bo N, --best-of N [5 ] number of best candidates to keep
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-bs N, --beam-size N [-1 ] beam size for beam search
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-wt N, --word-thold N [0.01 ] word timestamp probability threshold
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-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
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-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
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-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)
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-tr, --translate [false ] translate from source language to english
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-di, --diarize [false ] stereo audio diarization
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-otxt, --output-txt [false ] output result in a text file
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-ovtt, --output-vtt [false ] output result in a vtt file
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-osrt, --output-srt [false ] output result in a srt file
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-owts, --output-words [false ] output script for generating karaoke video
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-ocsv, --output-csv [false ] output result in a CSV file
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-ps, --print-special [false ] print special tokens
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-pc, --print-colors [false ] print colors
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-pp, --print-progress [false ] print progress
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-nt, --no-timestamps [true ] do not print timestamps
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-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
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--prompt PROMPT [ ] initial prompt
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-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
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-f FNAME, --file FNAME [ ] input WAV file path
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-h, --help [default] show this help message and exit
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-t N, --threads N [4 ] number of threads to use during computation
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-p N, --processors N [1 ] number of processors to use during computation
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-ot N, --offset-t N [0 ] time offset in milliseconds
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-on N, --offset-n N [0 ] segment index offset
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-d N, --duration N [0 ] duration of audio to process in milliseconds
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-mc N, --max-context N [-1 ] maximum number of text context tokens to store
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-ml N, --max-len N [0 ] maximum segment length in characters
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-bo N, --best-of N [5 ] number of best candidates to keep
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-bs N, --beam-size N [-1 ] beam size for beam search
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-wt N, --word-thold N [0.01 ] word timestamp probability threshold
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-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
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-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
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-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)
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-tr, --translate [false ] translate from source language to english
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-di, --diarize [false ] stereo audio diarization
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-nf, --no-fallback [false ] do not use temperature fallback while decoding
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-otxt, --output-txt [false ] output result in a text file
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-ovtt, --output-vtt [false ] output result in a vtt file
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-osrt, --output-srt [false ] output result in a srt file
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-owts, --output-words [false ] output script for generating karaoke video
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-ocsv, --output-csv [false ] output result in a CSV file
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-of FNAME, --output-file FNAME [ ] output file path (without file extension)
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-ps, --print-special [false ] print special tokens
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-pc, --print-colors [false ] print colors
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-pp, --print-progress [false ] print progress
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-nt, --no-timestamps [true ] do not print timestamps
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-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
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--prompt PROMPT [ ] initial prompt
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-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
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-f FNAME, --file FNAME [ ] input WAV file path
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bash ./models/download-ggml-model.sh base.en
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@ -137,7 +139,8 @@ Running base.en on all samples in ./samples ...
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[+] Running base.en on samples/jfk.wav ... (run 'ffplay samples/jfk.wav' to listen)
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----------------------------------------------
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whisper_model_load: loading model from 'models/ggml-base.en.bin'
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whisper_init_from_file: loading model from 'models/ggml-base.en.bin'
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whisper_model_load: loading model
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whisper_model_load: n_vocab = 51864
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whisper_model_load: n_audio_ctx = 1500
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whisper_model_load: n_audio_state = 512
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@ -150,13 +153,14 @@ whisper_model_load: n_text_layer = 6
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whisper_model_load: n_mels = 80
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whisper_model_load: f16 = 1
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whisper_model_load: type = 2
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whisper_model_load: mem required = 215.00 MB (+ 6.00 MB per decoder)
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whisper_model_load: kv self size = 5.25 MB
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whisper_model_load: kv cross size = 17.58 MB
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whisper_model_load: adding 1607 extra tokens
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whisper_model_load: mem_required = 506.00 MB
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whisper_model_load: ggml ctx size = 140.60 MB
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whisper_model_load: memory size = 22.83 MB
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whisper_model_load: model ctx = 140.60 MB
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whisper_model_load: model size = 140.54 MB
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system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 |
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system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
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main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
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@ -164,12 +168,13 @@ main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 proc
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[00:00:00.000 --> 00:00:11.000] And so my fellow Americans, ask not what your country can do for you, ask what you can do for your country.
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whisper_print_timings: load time = 105.91 ms
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whisper_print_timings: mel time = 24.62 ms
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whisper_print_timings: sample time = 3.63 ms
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whisper_print_timings: encode time = 324.71 ms / 54.12 ms per layer
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whisper_print_timings: decode time = 83.58 ms / 13.93 ms per layer
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whisper_print_timings: total time = 542.81 ms
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whisper_print_timings: fallbacks = 0 p / 0 h
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whisper_print_timings: load time = 113.81 ms
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whisper_print_timings: mel time = 15.40 ms
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whisper_print_timings: sample time = 11.58 ms / 27 runs ( 0.43 ms per run)
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whisper_print_timings: encode time = 266.60 ms / 1 runs ( 266.60 ms per run)
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whisper_print_timings: decode time = 66.11 ms / 27 runs ( 2.45 ms per run)
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whisper_print_timings: total time = 476.31 ms
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```
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The command downloads the `base.en` model converted to custom `ggml` format and runs the inference on all `.wav` samples in the folder `samples`.
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@ -212,11 +217,11 @@ make large
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| Model | Disk | Mem | SHA |
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| --- | --- | --- | --- |
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| tiny | 75 MB | ~390 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
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| base | 142 MB | ~500 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
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| small | 466 MB | ~1.0 GB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
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| medium | 1.5 GB | ~2.6 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
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| large | 2.9 GB | ~4.7 GB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
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| tiny | 75 MB | ~125 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
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| base | 142 MB | ~210 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
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| small | 466 MB | ~600 MB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
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| medium | 1.5 GB | ~1.7 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
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| large | 2.9 GB | ~3.3 GB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
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## Limitations
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@ -234,7 +239,8 @@ in about half a minute on a MacBook M1 Pro, using `medium.en` model:
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```java
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$ ./main -m models/ggml-medium.en.bin -f samples/gb1.wav -t 8
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whisper_model_load: loading model from 'models/ggml-medium.en.bin'
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whisper_init_from_file: loading model from 'models/ggml-medium.en.bin'
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whisper_model_load: loading model
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whisper_model_load: n_vocab = 51864
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whisper_model_load: n_audio_ctx = 1500
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whisper_model_load: n_audio_state = 1024
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@ -247,55 +253,60 @@ whisper_model_load: n_text_layer = 24
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whisper_model_load: n_mels = 80
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whisper_model_load: f16 = 1
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whisper_model_load: type = 4
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whisper_model_load: mem_required = 2610.00 MB
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whisper_model_load: mem required = 1720.00 MB (+ 43.00 MB per decoder)
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whisper_model_load: kv self size = 42.00 MB
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whisper_model_load: kv cross size = 140.62 MB
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whisper_model_load: adding 1607 extra tokens
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whisper_model_load: ggml ctx size = 1644.97 MB
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whisper_model_load: memory size = 182.62 MB
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whisper_model_load: model size = 1462.12 MB
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main: processing 'samples/gb1.wav' (3179750 samples, 198.7 sec), 8 threads, lang = en, task = transcribe, timestamps = 1 ...
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[00:00.000 --> 00:08.000] My fellow Americans, this day has brought terrible news and great sadness to our country.
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[00:08.000 --> 00:17.000] At nine o'clock this morning, Mission Control in Houston lost contact with our Space Shuttle Columbia.
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[00:17.000 --> 00:23.000] A short time later, debris was seen falling from the skies above Texas.
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[00:23.000 --> 00:29.000] The Columbia's lost. There are no survivors.
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[00:29.000 --> 00:32.000] On board was a crew of seven.
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[00:32.000 --> 00:39.000] Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark,
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[00:39.000 --> 00:48.000] Captain David Brown, Commander William McCool, Dr. Kultna Shavla, and Ilan Ramon,
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[00:48.000 --> 00:52.000] a colonel in the Israeli Air Force.
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[00:52.000 --> 00:58.000] These men and women assumed great risk in the service to all humanity.
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[00:58.000 --> 01:03.000] In an age when space flight has come to seem almost routine,
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[01:03.000 --> 01:07.000] it is easy to overlook the dangers of travel by rocket
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[01:07.000 --> 01:12.000] and the difficulties of navigating the fierce outer atmosphere of the Earth.
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[01:12.000 --> 01:18.000] These astronauts knew the dangers, and they faced them willingly,
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[01:18.000 --> 01:23.000] knowing they had a high and noble purpose in life.
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[01:23.000 --> 01:31.000] Because of their courage and daring and idealism, we will miss them all the more.
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[01:31.000 --> 01:36.000] All Americans today are thinking as well of the families of these men and women
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[01:36.000 --> 01:40.000] who have been given this sudden shock and grief.
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[01:40.000 --> 01:45.000] You're not alone. Our entire nation grieves with you,
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[01:45.000 --> 01:52.000] and those you love will always have the respect and gratitude of this country.
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[01:52.000 --> 01:56.000] The cause in which they died will continue.
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[01:56.000 --> 02:04.000] Mankind is led into the darkness beyond our world by the inspiration of discovery
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[02:04.000 --> 02:11.000] and the longing to understand. Our journey into space will go on.
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[02:11.000 --> 02:16.000] In the skies today, we saw destruction and tragedy.
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[02:16.000 --> 02:22.000] Yet farther than we can see, there is comfort and hope.
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[02:22.000 --> 02:29.000] In the words of the prophet Isaiah, "Lift your eyes and look to the heavens
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[02:29.000 --> 02:35.000] who created all these. He who brings out the starry hosts one by one
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[02:35.000 --> 02:39.000] and calls them each by name."
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[02:39.000 --> 02:46.000] Because of His great power and mighty strength, not one of them is missing.
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[02:46.000 --> 02:55.000] The same Creator who names the stars also knows the names of the seven souls we mourn today.
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[02:55.000 --> 03:01.000] The crew of the shuttle Columbia did not return safely to earth,
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[03:01.000 --> 03:05.000] yet we can pray that all are safely home.
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[03:05.000 --> 03:13.000] May God bless the grieving families, and may God continue to bless America.
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[03:13.000 --> 03:41.000] Audio
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whisper_print_timings: load time = 575.92 ms
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whisper_print_timings: mel time = 230.60 ms
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whisper_print_timings: sample time = 73.19 ms
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whisper_print_timings: encode time = 19552.61 ms / 814.69 ms per layer
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whisper_print_timings: decode time = 13249.96 ms / 552.08 ms per layer
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whisper_print_timings: total time = 33686.27 ms
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whisper_model_load: model ctx = 1462.35 MB
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whisper_model_load: model size = 1462.12 MB
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system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
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main: processing 'samples/gb1.wav' (3179750 samples, 198.7 sec), 8 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
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[00:00:00.000 --> 00:00:08.000] My fellow Americans, this day has brought terrible news and great sadness to our country.
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[00:00:08.000 --> 00:00:17.000] At nine o'clock this morning, Mission Control in Houston lost contact with our Space Shuttle Columbia.
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[00:00:17.000 --> 00:00:23.000] A short time later, debris was seen falling from the skies above Texas.
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[00:00:23.000 --> 00:00:29.000] The Columbia's lost. There are no survivors.
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[00:00:29.000 --> 00:00:32.000] On board was a crew of seven.
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[00:00:32.000 --> 00:00:39.000] Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark,
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[00:00:39.000 --> 00:00:48.000] Captain David Brown, Commander William McCool, Dr. Kultna Shavla, and Ilan Ramon,
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[00:00:48.000 --> 00:00:52.000] a colonel in the Israeli Air Force.
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[00:00:52.000 --> 00:00:58.000] These men and women assumed great risk in the service to all humanity.
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[00:00:58.000 --> 00:01:03.000] In an age when space flight has come to seem almost routine,
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[00:01:03.000 --> 00:01:07.000] it is easy to overlook the dangers of travel by rocket
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[00:01:07.000 --> 00:01:12.000] and the difficulties of navigating the fierce outer atmosphere of the Earth.
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[00:01:12.000 --> 00:01:18.000] These astronauts knew the dangers, and they faced them willingly,
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[00:01:18.000 --> 00:01:23.000] knowing they had a high and noble purpose in life.
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[00:01:23.000 --> 00:01:31.000] Because of their courage and daring and idealism, we will miss them all the more.
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[00:01:31.000 --> 00:01:36.000] All Americans today are thinking as well of the families of these men and women
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[00:01:36.000 --> 00:01:40.000] who have been given this sudden shock and grief.
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[00:01:40.000 --> 00:01:45.000] You're not alone. Our entire nation grieves with you,
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[00:01:45.000 --> 00:01:52.000] and those you love will always have the respect and gratitude of this country.
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[00:01:52.000 --> 00:01:56.000] The cause in which they died will continue.
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[00:01:56.000 --> 00:02:04.000] Mankind is led into the darkness beyond our world by the inspiration of discovery
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[00:02:04.000 --> 00:02:11.000] and the longing to understand. Our journey into space will go on.
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[00:02:11.000 --> 00:02:16.000] In the skies today, we saw destruction and tragedy.
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[00:02:16.000 --> 00:02:22.000] Yet farther than we can see, there is comfort and hope.
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[00:02:22.000 --> 00:02:29.000] In the words of the prophet Isaiah, "Lift your eyes and look to the heavens
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[00:02:29.000 --> 00:02:35.000] who created all these. He who brings out the starry hosts one by one
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[00:02:35.000 --> 00:02:39.000] and calls them each by name."
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[00:02:39.000 --> 00:02:46.000] Because of His great power and mighty strength, not one of them is missing.
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[00:02:46.000 --> 00:02:55.000] The same Creator who names the stars also knows the names of the seven souls we mourn today.
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[00:02:55.000 --> 00:03:01.000] The crew of the shuttle Columbia did not return safely to earth,
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[00:03:01.000 --> 00:03:05.000] yet we can pray that all are safely home.
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[00:03:05.000 --> 00:03:13.000] May God bless the grieving families, and may God continue to bless America.
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[00:03:13.000 --> 00:03:19.000] [Silence]
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whisper_print_timings: fallbacks = 1 p / 0 h
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whisper_print_timings: load time = 569.03 ms
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whisper_print_timings: mel time = 146.85 ms
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whisper_print_timings: sample time = 238.66 ms / 553 runs ( 0.43 ms per run)
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whisper_print_timings: encode time = 18665.10 ms / 9 runs ( 2073.90 ms per run)
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whisper_print_timings: decode time = 13090.93 ms / 549 runs ( 23.85 ms per run)
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whisper_print_timings: total time = 32733.52 ms
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```
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</details>
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@ -321,14 +332,14 @@ to highlight words with high or low confidence:
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## Controlling the length of the generated text segments (experimental)
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For example, to limit the line length to a maximum of 16 characters, simply add `-ml 16`:
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For example, to limit the line length to a maximum of 16 characters, simply add `-ml 16`:
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```java
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./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
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whisper_model_load: loading model from './models/ggml-base.en.bin'
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...
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system_info: n_threads = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 |
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system_info: n_threads = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 |
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main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
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@ -352,7 +363,7 @@ The `--max-len` argument can be used to obtain word-level timestamps. Simply use
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whisper_model_load: loading model from './models/ggml-base.en.bin'
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...
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system_info: n_threads = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 |
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system_info: n_threads = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 |
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main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
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Georgi Gerganov
2 years ago