On Amplitude Modulation for Monaural Speech Segregation

نویسندگان

  • Guoning Hu
  • DeLiang Wang
چکیده

We propose a computational auditory scene analysis (CASA) model for monaural speech segregation. It deals with low-frequency and high-frequency signals differently. For high-frequency signals, it generates segments based on common amplitude modulation (AM) and groups them according to AM repetition rates. This model performs substantially better than previous CASA systems.

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

Speech segregation in rooms: monaural, binaural, and interacting effects of reverberation on target and interferer.

Speech reception thresholds were measured in virtual rooms to investigate the influence of reverberation on speech intelligibility for spatially separated targets and interferers. The measurements were realized under headphones, using target sentences and noise or two-voice interferers. The room simulation allowed variation of the absorption coefficient of the room surfaces independently for ta...

متن کامل

Monaural Azimuth Localization Using Spectral Dynamics of Speech

We tackle the task of localizing speech signals on the horizontal plane using monaural cues. We show that monaural cues as incorporated in speech are efficiently captured by amplitude modulation spectra patterns. We demonstrate that by using these patterns, a linear Support Vector Machine can use directionality related information to learn to discriminate and classify sound location at high res...

متن کامل

Pitch-based monaural segregation of reverberant speech.

In everyday listening, both background noise and reverberation degrade the speech signal. Psychoacoustic evidence suggests that human speech perception under reverberant conditions relies mostly on monaural processing. While speech segregation based on periodicity has achieved considerable progress in handling additive noise, little research in monaural segregation has been devoted to reverbera...

متن کامل

Improved monaural speech segregation based on computational auditory scene analysis

A lot of effort has been made in Computational Auditory Scene Analysis (CASA) to segregate target speech from monaural mixtures. Based on the principle of CASA, this article proposes an improved algorithm for monaural speech segregation. To extract the energy feature more accurately, the proposed algorithm improves the threshold selection for response energy in initial segmentation stage. Since...

متن کامل

Speech Segregation Based on Pitch Tracking and Amplitude Modulation

Speech segregation is an important task of auditory scene analysis (ASA), in which the speech of a certain speaker is separated from other interfering signals. Wang and Brown proposed a multistage neural model for speech segregation, the core of which is a two-layer oscillator network. In this paper, we extend their model by adding further processes based on psychoacoustic evidence to improve t...

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 2001