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ICASSP
2011
IEEE
14 years 3 months ago
Frame-wise HMM adaptation using state-dependent reverberation estimates
A novel frame-wise model adaptation approach for reverberationrobust distant-talking speech recognition is proposed. It adjusts the means of static cepstral features to capture th...
Armin Sehr, Roland Maas, Walter Kellermann
ICASSP
2011
IEEE
14 years 3 months ago
A paired test for recognizer selection with untranscribed data
Traditionally, the use of untranscribed speech has been restricted to unsupervised or semi-supervised training of acoustic models. Comparison of recognizers has required labeled d...
Bhiksha Raj, Rita Singh, James Baker
ICASSP
2011
IEEE
14 years 3 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...
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ICASSP
2011
IEEE
14 years 3 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICASSP
2011
IEEE
14 years 3 months ago
Preserve ordering property of generated LSPS for minimum generation error training in HMM-based speech synthesis
Ordering property is an important property of LSP and closely connected with the naturalness of reconstructed speech. When LSP is adopted as spectrum feature in HMM-based parametr...
Ming Lei, Zhen-Hua Ling, Li-Rong Dai