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TASLP
2002
142views more  TASLP 2002»
13 years 11 months ago
Geometric source separation: merging convolutive source separation with geometric beamforming
Convolutive blind source separation and adaptive beamforming have a similar goal--extracting a source of interest (or multiple sources) while reducing undesired interferences. A be...
Lucas C. Parra, Christopher V. Alvino
TASLP
2002
124views more  TASLP 2002»
13 years 11 months ago
Automatic speech recognition performance on a voicemail transcription task
Abstract--In this paper, we report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded o...
Mukund Padmanabhan, George Saon, Jing Huang, Brian...
TASLP
2002
84views more  TASLP 2002»
13 years 11 months ago
Substate tying with combined parameter training and reduction in tied-mixture HMM design
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
Liang Gu, Kenneth Rose
TASLP
2002
124views more  TASLP 2002»
13 years 11 months ago
Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech informatio
With the rapidly growing use of the audio and multimedia information over the Internet, the technology for retrieving speech information using voice queries is becoming more and mo...
Berlin Chen, Hsin-Min Wang, Lin-Shan Lee
TASLP
2002
111views more  TASLP 2002»
13 years 11 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot
TASLP
2002
110views more  TASLP 2002»
13 years 11 months ago
Automatic generation of subword units for speech recognition systems
Large vocabulary continuous speech recognition (LVCSR) systems traditionally represent words in terms of smaller subword units. Both during training and during recognition, they re...
Rita Singh, Bhiksha Raj, Richard M. Stern
TASLP
2002
109views more  TASLP 2002»
13 years 11 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...