Add to ORKGProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 201070-7
Abstract This paper proposes a prior distribution determination technique using cross validation for...
In this paper, we show the novel application of hidden conditional random fields (HCRFs) – conditio...
In this paper, a new decision tree-based clustering technique called Phonetic, Dimensional and State...
Acoustic modelling based on Hidden Markov Models (HMMs) is employed by state-of-the-art stochastic s...
In this paper, by using the formulation of the missing-data problem, a general framework for statist...
Abstract — While the current TTS systems can deliver quite acceptable segmental quality of synthesiz...
This paper describes a new context clustering technique for average voice model, which is a set of s...
We present conditional random fields, a framework for building probabilistic models to segment and l...
We present conditional random fields, a frame-work for building probabilistic models to seg-ment and...
This paper proposes Bayesian context clustering using cross validation for hidden Markov model (HMM)...
In this paper, a fast segmental clustering approach to decision tree tying based acoustic modeling i...
INTERSPEECH2009: 10th Annual Conference of the International Speech Communication Association, Septe...
There has been a growing interest in stochastic modelling and learning with complex data, whose elem...
This paper proposes a prior distribution determination tech-nique using cross validation for speech ...
In this paper, we present a novel postprocessor for speech recognition using the Augmented Condition...
Abstract This paper proposes a prior distribution determination technique using cross validation for...
In this paper, we show the novel application of hidden conditional random fields (HCRFs) – conditio...
In this paper, a new decision tree-based clustering technique called Phonetic, Dimensional and State...
Acoustic modelling based on Hidden Markov Models (HMMs) is employed by state-of-the-art stochastic s...
In this paper, by using the formulation of the missing-data problem, a general framework for statist...
Abstract — While the current TTS systems can deliver quite acceptable segmental quality of synthesiz...
This paper describes a new context clustering technique for average voice model, which is a set of s...
We present conditional random fields, a framework for building probabilistic models to segment and l...
We present conditional random fields, a frame-work for building probabilistic models to seg-ment and...
This paper proposes Bayesian context clustering using cross validation for hidden Markov model (HMM)...
In this paper, a fast segmental clustering approach to decision tree tying based acoustic modeling i...
INTERSPEECH2009: 10th Annual Conference of the International Speech Communication Association, Septe...
There has been a growing interest in stochastic modelling and learning with complex data, whose elem...
This paper proposes a prior distribution determination tech-nique using cross validation for speech ...
In this paper, we present a novel postprocessor for speech recognition using the Augmented Condition...
Abstract This paper proposes a prior distribution determination technique using cross validation for...
In this paper, we show the novel application of hidden conditional random fields (HCRFs) – conditio...
In this paper, a new decision tree-based clustering technique called Phonetic, Dimensional and State...