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ref #22 : add option to provide multiple input .wav files

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This commit is contained in:
Georgi Gerganov
2022-10-05 23:44:10 +03:00
parent 6b1c3cc198
commit 700898e6ed
2 changed files with 121 additions and 108 deletions
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README.md
+14 -17
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@@ -31,13 +31,12 @@ For a quick demo, simply run `make base.en`:
```java
$ make base.en
gcc -pthread -O3 -mavx -mavx2 -mfma -mf16c -c ggml.c
g++ -pthread -O3 -std=c++11 -c main.cpp
g++ -pthread -o main ggml.o main.o
cc -O3 -std=c11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c ggml.c
c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c whisper.cpp
c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread main.cpp whisper.o ggml.o -o main
./main -h
usage: ./main [options]
usage: ./main [options] file0.wav file1.wav ...
options:
-h, --help show this help message and exit
@@ -49,11 +48,11 @@ options:
-nt, --no_timestamps do not print timestamps
-l LANG, --language LANG spoken language (default: en)
-m FNAME, --model FNAME model path (default: models/ggml-base.en.bin)
-f FNAME, --file FNAME input WAV file path (default: samples/jfk.wav)
-f FNAME, --file FNAME input WAV file path
bash ./download-ggml-model.sh base.en
Downloading ggml model base.en ...
models/ggml-base.en.bin 100%[=====================================>] 141.11M 8.58MB/s in 22s
models/ggml-base.en.bin 100%[===================================>] 141.11M 6.49MB/s in 23s
Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
You can now use it like this:
@@ -86,20 +85,18 @@ whisper_model_load: adding 1607 extra tokens
whisper_model_load: ggml ctx size = 163.43 MB
whisper_model_load: memory size = 22.83 MB
whisper_model_load: model size = 140.54 MB
log_mel_spectrogram: n_sample = 176000, n_len = 1100
log_mel_spectrogram: recording length: 11.000000 s
main: processing 176000 samples (11.0 sec), 4 threads, lang = english, task = transcribe, timestamps = 1 ...
main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, lang = en, task = transcribe, timestamps = 1 ...
[00:00.000 --> 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.
[00:00.000 --> 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.
main: load time = 82.05 ms
main: mel time = 44.15 ms
main: sample time = 1.98 ms
main: encode time = 674.77 ms / 112.46 ms per layer
main: decode time = 82.91 ms
main: total time = 886.29 ms
whisper_print_timings: load time = 77.48 ms
whisper_print_timings: mel time = 26.10 ms
whisper_print_timings: sample time = 2.19 ms
whisper_print_timings: encode time = 632.95 ms / 105.49 ms per layer
whisper_print_timings: decode time = 85.11 ms / 14.18 ms per layer
whisper_print_timings: total time = 824.14 ms
```
The command downloads the `base.en` model converted to custom `ggml` format and runs the inference on all `.wav` samples in the folder `samples`.