In this paper, we address a music signal separation problem, and propose a new method utilizing both spectral and spatial cues included in mixtures of multiple instruments. In the previous studies, music signal separation ...
In this paper, we derive a closed-form solutuion of the internal parameters that satisfy the musical-noise-free condition by analysis based on higher-order statistics in iterative Wiener filtering. To achieve high-quality ...
Fine Dwinita Aprilyanti; Hiroshi Saruwatari; Kiyohiro Shikano; Tomoya Takatani(IEEE, 2012)
In this paper, we apply the higher-order statistics parameter to automatically improve the performance of blind speech enhancement. Recently, a method to suppress both diffuse background noise and late reverberation part ...
In this paper, we propose a new theoretical analysis of amount of musical noise generated in several noise reduction methods with a decision-directed a priori SNR estimator using higher-order statistics. In our previous ...
In this paper, speech recognition accuracy improvement is addressed for ICA-based multichannel noise reduction in spoken-dialogue robot. First, to achieve high recognition accuracy for the early utterance of the target ...
An example-based response generation is a robust and practical approach for a real-environment information guidance system. However, this framework cannot reflect differences in nuance, because the set of answer sentences ...
In this paper, we address an improved method of noise reduction used in multichannel Non-Audible Murmur (NAM) based on blind source separation. Recently, speech processing with NAM has been proposed for applying versatile ...
In this paper, we review a musical-noise-generation analysis of nonlinear noise reduction techniques with using higher-order statistics (HOS). Recently, an objective metric based on HOS to analyze nonlinear artifacts, i.e., ...
The need for robust pronunciation annotation over out-of-vocabulary (OOV) words has been increasing with the development of an application that deals with proper nouns and brand-new words, such as Voice Search. In robust ...
In this paper, we propose a new iterative signal extraction method using a microphone array that can be applied to nonstationary noise. In our previous study, it was found that optimized iterative spectral subtraction (SS) ...
In this paper, we propose a modified musical-noise-free blind spatial subtraction array (BSSA) based on ICA-based iterative noise estimation with channel selection. In our previous study, we have proposed a modified BSSA ...
In this paper, we propose a new theoretical analysis of the amount of musical noise generated in several noise reduction methods with a decision-directed a priori SNR estimator using higher-order statistics. In our previous ...
We investigate a discrimination method for invalid and valid spoken inquiries, received by an speech-oriented guidance system operating in a real environment. Invalid spoken inquiries include background voices, which are ...
In this paper, we analyze the causes of task completion errors in spoken dialog systems, using a decision tree with N-gram features of the dialog to detect task-incomplete dialogs. The dialog for a music retrieval task is ...
In this paper, to achieve high-quality speech enhancement, we introduce the generalized minimum mean-square error short-time spectral amplitude estimator with a new blind prior estimation of the speech probability density ...
This paper describes a novel approach based on voice conversion (VC) to speaker-adaptive speech synthesis for speech-to-speech translation. Voice quality of translated speech in an output language is usually different from ...
In this paper, we address the separation of multiple instrumental sources based on semi-supervised nonnegative matrix factorization (SNMF) and propose a new constrained SNMF. Recently, various types of SNMF have been ...
In this paper, speech recognition accuracy improvement is addressed for ICA-based multichannel noise reduction in spoken-dialogue robot. First, a new permutation solving method using a probability statistics model is ...
Out of the main applications of Blind Source Separation (BSS) is to improve performance of Automatic Speech Recognition (ASR) systems. However, conventional BSS algorithm has been applied only to speech signals as a ...
In this paper, we propose a new method of sound localization preserved noise reduction method for binaural hearing-aid systems. In the previous works, the sound-localization-preserved MMSE STSA estimator with ICA-based ...