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ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
ICCHP
2010
Springer
13 years 4 months ago
CanSpeak: A Customizable Speech Interface for People with Dysarthric Speech
Current Automatic Speech Recognition (ASR) systems designed to recognize dysarthric speech require an investment in training that involves considerable effort and must be repeated ...
Foad Hamidi, Melanie Baljko, Nigel Livingston, Leo...
ICASSP
2010
IEEE
13 years 4 months ago
Simple methods for improving speaker-similarity of HMM-based speech synthesis
In this paper we revisit some basic configuration choices of HMMbased speech synthesis, such as waveform sampling rate, auditory frequency warping scale and the logarithmic scali...
Junichi Yamagishi, Simon King
ICA
2012
Springer
12 years 1 months ago
A Non-negative Approach to Language Informed Speech Separation
Abstract. The use of high level information in source separation algorithms can greatly constrain the problem and lead to improved results by limiting the solution space to semanti...
Gautham J. Mysore, Paris Smaragdis
ICASSP
2011
IEEE
12 years 9 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...