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» Analysis-by-synthesis features for speech recognition
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ICASSP
2010
IEEE
13 years 9 months ago
VTLN adaptation for statistical speech synthesis
The advent of statistical speech synthesis has enabled the unification of the basic techniques used in speech synthesis and recognition. Adaptation techniques that have been succ...
Lakshmi Saheer, Philip N. Garner, John Dines, Hui ...
INTERSPEECH
2010
13 years 4 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
CIIT
2004
13 years 11 months ago
Signal processing tools for speech recognition
This paper describes the design and development of a set of signal processing software tools for speech recognition. The tools were developed for inclusion in a comprehensive publ...
Hualin Gao, Richard Duncan, Julie Baca, Joseph Pic...
ICASSP
2011
IEEE
13 years 1 months ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...
ICASSP
2010
IEEE
13 years 8 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