Overview
- Editors:
-
-
Pierre Divenyi
-
East Bay Institute for Research and Education, USA
- Provides comprehensive and authoritative discussion of how humans separate speech and the state of the art in approaching these abilities with machines
Access this book
Other ways to access
Table of contents (21 chapters)
-
Front Matter
Pages i-xxiv
-
-
-
-
-
-
- Bhiksha Raj, Michael Seltzer, Manuel Jesus Reyes-Gomez
Pages 65-82
-
-
-
-
- Toshio Irino, Roy D. Patterson, Hideki Kawakhara
Pages 155-165
-
- Hideki Kawahara, Toshio Irino
Pages 167-180
-
-
-
- Guy J. Brown, Kalle J. Palomäki
Pages 213-220
-
- Nat Durlach, Steve Colburn, Gerald Kidd, Chris Mason, Barbara Shinn-Cunningham, Tanya Arborgast et al.
Pages 221-243
-
-
-
-
- Ziyou Xiong, Thomas S. Huang
Pages 283-293
About this book
There is a serious problem in the recognition of sounds. It derives from the fact that they do not usually occur in isolation but in an environment in which a number of sound sources (voices, traffic, footsteps, music on the radio, and so on) are active at the same time. When these sounds arrive at the ear of the listener, the complex pressure waves coming from the separate sources add together to produce a single, more complex pressure wave that is the sum of the individual waves. The problem is how to form separate mental descriptions of the component sounds, despite the fact that the “mixture wave” does not directly reveal the waves that have been summed to form it. The name auditory scene analysis (ASA) refers to the process whereby the auditory systems of humans and other animals are able to solve this mixture problem. The process is believed to be quite general, not specific to speech sounds or any other type of sounds, and to exist in many species other than humans. It seems to involve assigning spectral energy to distinct “auditory objects” and “streams” that serve as the mental representations of distinct sound sources in the environment and the patterns that they make as they change over time. How this energy is assigned will affect the perceived n- ber of auditory sources, their perceived timbres, loudnesses, positions in space, and pitches.
Editors and Affiliations
-
East Bay Institute for Research and Education, USA
Pierre Divenyi