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).
標(biāo)簽： HTK automatic research Toolkit
上傳時間： 2015-05-26
上傳用戶：myworkpost
speech signal process tools
標(biāo)簽： process speech signal tools
上傳時間： 2013-12-22
上傳用戶：123啊
it is about speech signal processing and it is so detail.
標(biāo)簽： processing detail speech signal
上傳時間： 2015-07-22
上傳用戶：chenjjer
Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization
標(biāo)簽： Quantization_Compare quantization companding uniform
上傳時間： 2014-08-08
上傳用戶：xinzhch
A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition
標(biāo)簽： Applications Recognition Tutorial Selected
上傳時間： 2013-12-13
上傳用戶：三人用菜
source code for speech processing
標(biāo)簽： processing source speech code
上傳時間： 2014-01-09
上傳用戶：2525775
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 (AR) process and represented in the state-space domain.
標(biāo)簽： speech with enhancement corrupted
上傳時間： 2015-09-07
上傳用戶：zhangyi99104144
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 domain.
標(biāo)簽： speech enhancement corrupted problem
上傳時間： 2013-12-20
上傳用戶：569342831
Accent issues in large vocabulary continuous speech recognition
標(biāo)簽： recognition continuous vocabulary Accent
上傳時間： 2014-01-10
上傳用戶：jichenxi0730
Accent issues in large vocabulary continuous speech recognition
標(biāo)簽： recognition continuous vocabulary Accent
上傳時間： 2013-12-12
上傳用戶：ghostparker
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