Sphinx-4 - A speech recognizer
General Information about Sphinx-4
Introduction
Sphinx-4 is a state-of-the-art speech recognition system written entirely in the JavaTM programming language. It was created via a joint collaboration between the Sphinx
Tutorial Details:
Capabilities
Live mode and batch mode speech recognizers, capable of recognizing discrete and continuous speech.
Generalized pluggable front end architecture. Includes pluggable implementations of preemphasis, Hamming window, FFT, Mel frequency filter bank, discrete cosine transform, cepstral mean normalization, and feature extraction of cepstra, delta cepstra, double delta cepstra features.
Generalized pluggable language model architecture. Includes pluggable language model support for ASCII and binary versions of unigram, bigram, trigram, Java Speech API Grammar Format (JSGF), and ARPA-format FST grammars.
Generalized acoustic model architecture. Includes pluggable support for Sphinx-3 acoustic models.
Generalized search management. Includes pluggable support for breadth first and word pruning searches.
Utilities for post-processing recognition results, including obtaining confidence scores, generating lattices and embedding ECMAScript into JSGF tags.
Standalone tools. Includes tools for displaying waveforms and spectrograms and generating features from audio.
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