14.6 Speech recognition network sample

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.

Table 14.19: The list of files

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
	AM/allTriphones_en	List of triphones in the acoustic model
	LM/order.*	Grammar-based language model
HARK	Recognition_en.n	HARK network file for localization, separation, and feature extraction
	Recognition.sh	Shell script to run the network file
	../config/microcone_loc.dat	Transfer function for localization
	../config/microcone_sep.tff	Transfer function for separation
	sep_files	Directory for separated sounds
Evaluation	score.py	Evaluation script
	transcription_A.txt	Reference data of the utterances for each direction
	transcription_B.txt	Reference data of the utterances for each direction