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» Automatic speech recognition system channel modeling
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ACL
2004
13 years 10 months ago
Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
The detection of prosodic characteristics is an important aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding ...
Michelle L. Gregory, Yasemin Altun
FTSIG
2007
136views more  FTSIG 2007»
13 years 9 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
NAACL
2003
13 years 10 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
ADS
2004
Springer
14 years 2 months ago
Modeling and Synthesizing Emotional Speech for Catalan Text-to-Speech Synthesis
This paper describes an initial approach to emotional speech synthesis in Catalan based on a diphone concatenation TTS system. The main goal of this work is to develop a simple pro...
Ignasi Iriondo Sanz, Francesc Alías, Javier...
SPIESR
2004
156views Database» more  SPIESR 2004»
13 years 10 months ago
Automated closed-captioning using text alignment
The production of closed captions is an important but expensive process in video broadcasting. We propose a method to generate highly accurate off-line captions efficiently. Our s...
Anthony F. Martone, Cüneyt M. Taskiran, Edwar...