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» Signal processing tools for speech recognition
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ICASSP
2009
IEEE
14 years 2 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
ICASSP
2009
IEEE
14 years 2 months ago
Discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition
In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeli...
Hung-An Chang, James R. Glass
ICASSP
2011
IEEE
12 years 11 months ago
Gaussian Mixture Modeling of vowel durations for automated assessment of non-native speech
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
Xie Sun, Keelan Evanini
ICASSP
2009
IEEE
14 years 2 months ago
Automatic named identification of speakers using diarization and ASR systems
In this paper, we consider the extraction of speaker identity from audio records of broadcast news without a priori acoustic information about speakers. Using an automatic speech ...
Vincent Jousse, Simon Petit-Renaud, Sylvain Meigni...
ICASSP
2010
IEEE
13 years 6 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern