151
click to vote
INTERSPEECH
14 years 8 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...
132
click to vote
INTERSPEECH
14 years 8 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...
103
click to vote
INTERSPEECH
14 years 8 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...
129
click to vote
INTERSPEECH
14 years 8 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...
122
click to vote
INTERSPEECH
14 years 8 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 ...
|
Signal Processing