A GMM Sound Source Model for Blind Speech Separation in Under-determined Conditions

نویسندگان

  • Yasuharu Hirasawa
  • Naoki Yasuraoka
  • Toru Takahashi
  • Tetsuya Ogata
  • Hiroshi G. Okuno
چکیده

Oral presentations: 20 minutes each, 15-18 minutes presentation + 2-5 minutes Q&A. Poster Presentations: The size of the poster-boards is 0.9m (width) by 1.5m (height). Please let us know in case you require any special equipment for your poster presentations (earphones will be available in the "Audio Day"). Spotlight presentations: These are 2-minutes "promos" for some of the papers to be presented in the subsequent poster sessions. A spotlight presentation consists of 23 slides, possibly with a short audio or video clip, where applicable.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sparse Separation of Under-Determined Speech Mixtures

We are all familiar with the shape of sound from our secondary school science classes; the typical oscillatory form of a string under tension that decays over time is widely know. At first sight, this representation of sound imparts to the observer nothing more than its duration and amplitude. So how does the brain separate different sounds given such a representation? Over millions of years th...

متن کامل

Nonparametric Bayesian sparse factor analysis for frequency domain blind source separation without permutation ambiguity

Blind source separation (BSS) and sound activity detection (SAD) from a sound source mixture with minimum prior information are two major requirements for computational auditory scene analysis that recognizes auditory events in many environments. In daily environments, BSS suffers from many problems such as reverberation, a permutation problem in frequency-domain processing, and uncertainty abo...

متن کامل

Speech separation based on the GMM PDF estimation

In this paper, the speech separation task will be regarded as a convolutive mixture Blind Source Separation (BSS) problem. The Maximum Entropy (ME) algorithm, the Minimum Mutual Information (MMI) algorithm and the Maximum Likelihood (ML) algorithm are main approaches of the algorithms solving the BSS problem. The relationship of these three algorithms has been analyzed in this paper. Based on t...

متن کامل

Estimation of Sound Source Direction Using Parabolic Reflection Board

This paper presents a new sound-source-direction estimation method using only a single microphone with a parabolic reflection board. In our previous work [1], we proposed GMM (Gaussian Mixture Model) separation for estimation of the sound source direction, where the observed (reverberant) speech is separated into the acoustic transfer function and the clean speech GMM. However, the previous met...

متن کامل

Simo-model-based Independent Component Analysis for High-fidelity Blind Separation of Acoustic Signals

We newly propose a novel blind separation framework for SingleInput Multiple-Output (SIMO)-model-based acoustic signals using the extended ICA algorithm, SIMO-ICA. The SIMO-ICA consists of multiple ICAs and a fidelity controller, and each ICA runs in parallel under the fidelity control of the entire separation system. The SIMO-ICA can separate the mixed signals, not into monaural source signals...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012