Blind speech separation

This paper presents a new blind speech separation algorithm using beamforming technique that is capable of extracting each individual speech signal from a mixture of three speech sources in a room.

10p vithanos2711 09-08-2019 24 1   Download

This paper proposes a new method to address the problem of blind speech separation in convolutive mixtures in the time domain. The main idea is extract the innovation processes of speech sources by nonGaussianity maximization and then artificially color them by re-coloration filters.

8p minhxaminhyeu3 25-06-2019 19 0   Download

This paper investigates the problem of speech separation from a mixture of two speech signals without source localization information in a room environment. Due to the lack of source information, the use of spatial detector comes at an expense of permutation ambiguity. To solve the problem, a permutation alignment algorithm based on correlation is employed to group the beamformer outputs into the correct sources.

11p dannisa 14-12-2018 27 1   Download

Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition.

576p kimngan_1 06-11-2012 55 8   Download

Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues.

0p cucdai_1 19-10-2012 61 7   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models

13p dauphong20 10-03-2012 40 2   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Permutation Correction in the Frequency Domain in Blind Separation of Speech Mixtures

16p dauphong20 10-03-2012 30 3   Download

Speech separation from noise, given a-priori information, can be viewed as a subspace estimation problem. Some conventional speech enhancement methods are spectral subtraction [1], Wiener filtering [2], blind signal separation [3] and hidden Markov modelling [4]. Hidden Markov Model (HMM) based speech enhancement techniques are related to the problem of performing speech recognition in noisy environments [5,6]. HMM based methods uses a-priori information about both the speech and the noise [4]. Some papers propose HMM speech enhancement techniques applied to stationary noise sources [4,7]....

30p longmontran 18-01-2010 108 18   Download