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ICASSP
2011
IEEE
12 years 9 months ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet
ICASSP
2009
IEEE
13 years 3 months ago
Monaural voiced speech segregation based on elaborate harmonic grouping strategy
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies ar...
Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu
COLING
2000
13 years 7 months ago
MT and Topic-Based Techniques to Enhance Speech Recognition Systems for Professional Translators
Our principle objective was to reduce the error rate of speech recognition systems used by professional translators. Our work concentrated on Spanish-to-English translation. In a ...
Yevgeny Ludovik, Ron Zacharski
ICASSP
2008
IEEE
14 years 8 days ago
LSF mapping for voice conversion with very small training sets
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...
Elina Helander, Jani Nurminen, Moncef Gabbouj
CSL
2010
Springer
13 years 4 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim