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Kazumasa Yamamoto 的引文(36) 排序方式:
Temporal AM-FM combination for robust speech recognition  
A novel method for feature extraction from the frequency modulation (FM) in speech signals is proposed for robust speech recognition. To exploit of the multistream speech recognizers, each stream sho......
Speech Communication  2011
0次引用 0 0
A sampling-based environment population projection approach for rapid acoustic model adaptation  
We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This approach consists of t......
International Conference on Acoustics, Speech, and Signal Processing  2011
0次引用 0 0
Automatic speech recognition using Hidden Conditional Neural Fields  
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted features, it cannot consid......
International Conference on Acoustics, Speech, and Signal Processing  2011
3次引用 0 0
Evaluation of Privacy Protection Techniques for Speech Signals  
A ubiquitous networked society, in which all electronic equipment including “sensors” are connected to a network and are able to communicate with one another to share information, will shortly become ......
Information Processing and Management of Uncertainty  2010
0次引用 0 0
Improvements in acoustic source's position and orientation estimation by a microphone array network  
In this work we present improvements in our re- search on position and orientation estimation of an acoustic source by a microphone array network. Here, at the input of an artificial neural network (A......
 2009
0次引用 0 0
Estimating the position and orientation of an acoustic source with a microphone array network  
We propose a method that finds the position and orientation of an acoustic source in an enclosed environment. For each of eight T-shaped arrays forming a microphone array network, the time delay of ar......
Annual Conference of the International Speech Communication Association  2009
0次引用 0 0
Improvements in acoustic source's position and orientation estimation by a microphone array network  
In this work we present improvements in our re- search on position and orientation estimation of an acoustic source by a microphone array network. Here, at the input of an artificial neural network (A......
 2009
0次引用 0 0
Statistical parametric speech synthesis  
This paper gives a general overview of techniques in statisti- cal parametric speech synthesis. One of the instances of these techniques, called HMM-based generation synthesis (or simply HMM-based syn......
Speech Communication  2009
34次引用 0 0
Exploring the Use of Speech Features and Their Corresponding Distribution Characteristics for Robust Speech Recognition  
The performance of current automatic speech recognition (ASR) systems often deteriorates radically when the input speech is corrupted by various kinds of noise sources. Several methods have been propo......
IEEE Transactions on Audio, Speech and Language Processing  2009
7次引用 0 0
DIRECTIONAL ACOUSTIC SOURCE'S POSITION AND ORIENTATION ESTIMATION APPROACH BY A MICROPHONE ARRAY NETWORK  
In this paper we present a directional acoustic source's position and orientation estimation approach by a microphone array network in an enclose environment. In this work we assumed that at least one......
 2009
2次引用 0 0

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