Work

Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

Year: 2007

Type: article

Abstract: When applying automatic speech recognition (ASR) to meeting recordings including spontaneous speech, the performance of ASR is greatly reduced by the overlap of speech events. In this paper, a method of separating the overlapping speech events by using an adaptive beamforming (ABF) framework is proposed. The main feature of this method is that all the information necessary for the adaptation of ABF, including microphone calibration, is obtained from meeting recordings based on the results of speech-event detection. The performance of the separation is evaluated via ASR using real meeting recordings.

Source: EURASIP Journal on Audio Speech and Music Processing

DOI: 10.1155/2007/27616

Authors: Futoshi Asano, Kiyoshi Yamamoto, Jun Ogata, Miichi Yamada, Masami Nakamura

Institution: National Institute of Advanced Industrial Science and Technology

Language: English

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,890

Funder: Japan Society for the Promotion of Science