From 5dd96bc993097eb26016e0fd89419ad13b33e606 Mon Sep 17 00:00:00 2001 From: Guy Nicholson Date: Fri, 1 Nov 2024 13:10:35 -0700 Subject: [PATCH] Add a standalone long-form transcription demo Add a 1.5 minute WAV file for long-form transcription demo with Moonshine model. --- README.md | 15 ++-- moonshine/assets/a_tale_of_two_cities.wav | Bin 0 -> 2758574 bytes moonshine/demo/README.md | 54 ++++++++++++- moonshine/demo/file_transcription.py | 88 ++++++++++++++++++++++ 4 files changed, 151 insertions(+), 6 deletions(-) create mode 100755 moonshine/assets/a_tale_of_two_cities.wav create mode 100644 moonshine/demo/file_transcription.py diff --git a/README.md b/README.md index 8dc84d3..b289128 100644 --- a/README.md +++ b/README.md @@ -51,6 +51,7 @@ This repo hosts the inference code for Moonshine. - [Examples](#examples) - [Onnx standalone](#onnx-standalone) - [Live Captions](#live-captions) + - [Long-form transcription](#long-form-transcription) - [CTranslate2](#ctranslate2) - [TODO](#todo) - [Citation](#citation) @@ -131,17 +132,21 @@ The latest versions of the Onnx Moonshine models are available on HuggingFace at You can try the Moonshine models with live input from a microphone on many platforms with the [live captions demo](/moonshine/demo/README.md#demo-live-captioning-from-microphone-input). +### Long-form transcription + +A common approach to "long-form" transcription involves segmenting speech before running a model transcription for each segment. A single transcription is then assembled from the results. One method for segmentation is to locate pauses in the speech. You can try the Moonshine models with this segmentation method for long-form WAV files in the [file transcription demo](/moonshine/demo/README.md#demo-standalone-long-form-file-transcription). + ### CTranslate2 The files for the CTranslate2 versions of Moonshine are available at [huggingface.co/UsefulSensors/moonshine/tree/main/ctranslate2](https://huggingface.co/UsefulSensors/moonshine/tree/main/ctranslate2), but they require [a pull request to be merged](https://github.com/OpenNMT/CTranslate2/pull/1808) before they can be used with the mainline version of the framework. Until then, you should be able to try them with [our branch](https://github.com/njeffrie/CTranslate2/tree/master), with [this example script](https://github.com/OpenNMT/CTranslate2/pull/1808#issuecomment-2439725339). ## TODO * [x] Live transcription demo - + * [x] ONNX model - + * [ ] CTranslate2 support - + * [ ] MLX support * [ ] Fine-tuning code @@ -152,12 +157,12 @@ The files for the CTranslate2 versions of Moonshine are available at [huggingfac If you benefit from our work, please cite us: ``` @misc{jeffries2024moonshinespeechrecognitionlive, - title={Moonshine: Speech Recognition for Live Transcription and Voice Commands}, + title={Moonshine: Speech Recognition for Live Transcription and Voice Commands}, author={Nat Jeffries and Evan King and Manjunath Kudlur and Guy Nicholson and James Wang and Pete Warden}, year={2024}, eprint={2410.15608}, archivePrefix={arXiv}, primaryClass={cs.SD}, - url={https://arxiv.org/abs/2410.15608}, + url={https://arxiv.org/abs/2410.15608}, } ``` diff --git a/moonshine/assets/a_tale_of_two_cities.wav b/moonshine/assets/a_tale_of_two_cities.wav new file mode 100755 index 0000000000000000000000000000000000000000..fbc93d9a684d4f8229dcc95d42a7bed904995eb3 GIT binary patch literal 2758574 zcmZUc2OLl37w|8#vSp8Kl@w(Z2@QJ`5u!pvk!XlyCM_dTG?3Adm1Kkv$sUEw?7e4X z{eJKF``o<$_w#vw_jB*>xzC>GoadbLoZGlg&6?llE)_L<;PD#IcYM8Y)+mZnaP_H* zqh}PQjIu`0wt2nH+r)`~$z;kX5$+Ut{O>JgbS-&9bT!h7H zD&knG@qC(-b+n{7h4r~cSR5~|yDh)o&bV)^QIcQ$W(n7SaSh_u{r^35J>NLC<;V3i zFI#V)_=`fV<2ppdx*@t8+8n2k(-CWpssDS3+&f%XVBNFJs2{^?Jv(|DS)t zl_fR~iuKW6LADL@h>h<0=Bn=^PyG#|| zH;|9*OwIod_<5%yZ7N(TqtrZ8ait9YY4J}(c$)C8{|({Nm4>jiAw_E5Qgfx`U00g_ zuGCR_-qP`wmMdMj{7;Kd`tY9~R|ekGM>pcSF+9_UxaslBKpg#UO`A5PHFfHc-qOt9(k%Bzp4U^En{_j-SDfn&|E0Ap*3g=#3Gq@B z*OtZYvCZiyCBD+~pN77$H|(i2{HF{3V;@D~j{7f>%)mGpmXcVGLfog0N?Jl30mmi2 z<56-9bQzLl40T^0U-OCM>f?;?ay%VneM}RNcRZekrVcSv6DJ;N>u(Djedk0x-q!5~ z+L4B*BWqviiu=VjX5ihvwomLyL-ety?a$2InQ+A;l8G1@@JkyndS~Fi 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