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HARK Cookbook |
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HARK Cookbook |
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This section introduces the sample including speech separation, recognition, and success rate evaluation. Although the samples are for off-line use, you can use it for online processing just replacing AudioStreamFromWave to AudioStreamFromMic . All sample files are in Recognition directory. See Table 14.19 for details. The rest of this section describes how to run the samples step-by-step.
Category |
File name |
Description |
Data |
../MultiSpeech_en.wav |
Wave file used in this sample |
JuliusMFT |
julius.jconf |
Configuration file of JuliusMFT |
AM/hmmdefs_en.bin |
Acoustic model of English pronunciation |
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AM/allTriphones_en |
List of triphones in the acoustic model |
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LM/order.* |
Grammar-based language model |
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HARK |
Recognition_en.n |
HARK network file for localization, separation, and feature extraction |
Recognition.sh |
Shell script to run the network file |
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../config/microcone_tf.zip |
Transfer function for localization and separation (for HARK 2.1.0 or later) |
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sep_files |
Directory for separated sounds |
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Evaluation |
score.py |
Evaluation script |
transcription_A.txt |
Reference data of the utterances for each direction |
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transcription_B.txt |
Reference data of the utterances for each direction |
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HARK Cookbook |
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