178
Voted
INTERSPEECH
14 years 10 months ago
2010 
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
154
Voted
INTERSPEECH
14 years 10 months ago
2010
It is generally known that a well-designed excitation produces high quality signals in hidden Markov model (HMM)-based speech synthesis systems. This paper proposes a novel techni...
121
Voted
INTERSPEECH
14 years 10 months ago
2010
This paper proposes a technique for speaker and language adaptive training for HMM-based polyglot speech synthesis. Language-specific context-dependencies in the system are captur...
148
Voted
INTERSPEECH
14 years 10 months ago
2010 
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
142
Voted
INTERSPEECH
14 years 10 months ago
2010 
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
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Signal Processing