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Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).

speech signal process tools

it is about speech signal processing and it is so detail.

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization

A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition

source code for speech processing

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive ...

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space d ...

Accent issues in large vocabulary continuous speech recognition

Accent issues in large vocabulary continuous speech recognition