HMM-Based Multipitch Tracking for Noisy and Reverberant Speech
نویسندگان
چکیده
منابع مشابه
Multipitch Tracking for Noisy and Reverberant Speech
Abstract – Multipitch tracking in real environments is critical for speech signal processing. Determining pitch in reverberant and noisy speech is a particularly challenging task. In this paper, we propose a robust algorithm for multipitch tracking in the presence of both background noise and room reverberation. An auditory front-end and a new channel selection method are utilized to extract pe...
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The performance of a speech recognizer is degraded drastically in reverberant environments. We proposed a novel algorithm which can model an observation signal by composition of HMMs of clean speech, noise and an acoustic transfer function[1]. However, how to estimate HMM parameters of the acoustic transfer function is a remaining serious problem. In our previous paper[1], we measured real impu...
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The use of a microphone array for hands-free continuous speech recognition in noisy and reverberant environment is investigated. An array of four omnidirectional microphones is placed at 1.5 m distance from the talker; given the array signals, a Time Delay Compensation (TDC) module provides a beamformed signal, that is shown e ective as input to a Hidden Markov Model (HMM) based recognizer. Giv...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2011
ISSN: 1558-7916,1558-7924
DOI: 10.1109/tasl.2010.2077280