The Intel® Distribution of OpenVINO™ toolkit release 2020 r1 includes a new demo for speech recognition.
This release provides a set of libraries and demos to demonstrate end-to-end speech recognition. OpenVINO™ also provides new acoustic and language models to work with these demos. A full end-to-end speech processing scenario is covered and demonstrated by libraries and tools distributed with OpenVINO™.
The Speech Library wraps all of the processing blocks and exposes a simple API. The library takes care of proper initialization and data passing between all the components in the pipeline.
Speech Library contains:
There is a demo in the following directory:
This name of the demo is to run is:
This demo runs the following:
The demo calls on the speech recognition models set built using Kaldi* s5 NNET1 recipe. The files are located at:
This article offers guidance to run the speech demo available in 2020 r1 of Intel® Distribution of OpenVINO™ toolkit.
Speech recognition models set is built using Kaldi s5 NNET1 recipe.
To run the demo change directory to the demo directory by running the command:
Run the script for the speech recognition demo:
After the demo completed successfully, some python scripts ran and this tool displayed for use.
Find the folllowing information in the lspeech_s5_ext.yaml file.
name: lspeech_s5_ext description: >- This is a speech recognition models set built using Kaldi s5 NNET1 recipe. output: intel/lspeech_s5_ext task_type: detection files: topologies: - name: lspeech_s5_ext description: >- This is a speech recognition models set built using Kaldi s5 NNET1 recipe. output: intel/lspeech_s5_ext task_type: detection files: - name: FP32/speech_recognition_config.template size: 1267 sha256: 6cd4897386b939e571a8c9b9720f21101b3b8aff9dd9796e81f49cd898d14543 source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/speech_recognition_config.template - name: FP32/lspeech_s5_ext.feature_transform size: 3056 sha256: 074925603942d662f95ce9d5a1eb29b8b933d3dd98371285b1af9437da4c46b2 source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/lspeech_s5_ext.feature_transform - name: FP32/lspeech_s5_ext.xml size: 5329 sha256: a97ed9f37dd9ad75b9ce86e95742117535b0f6493c4df6d3c616cfbb862e5300 source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/lspeech_s5_ext.xml - name: FP32/lspeech_s5_ext.bin size: 26764224 sha256: bf35171ceb79c0c15484d236be6778492056fd1c1dbf4a27bbbf6902a839294a source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/lspeech_s5_ext.bin - name: FP32/hclg.fst size: 946851404 sha256: 140f4b07482809d3dfcb6c5009b99af7f4f4b2ca0d1093e7a758142472fe9091 source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/hclg.fst - name: FP32/labels.bin size: 2537784 sha256: de101e4e7926cfa3fb84469cb3f9c92d8230876321995a7aa662c555126f250c source: https://download.01.org/opencv/2020/openvinotoolkit/2020.1/models_contrib/speech/kaldi/librispeech_s5/OV/labels.bin framework: dldt license: https://raw.githubusercontent.com/opencv/open_model_zoo/master/LICENSE
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