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2002•Unpublished venueRequires access

Automatic evaluation of speaker recognizability of coded speech

Khaled Assaleh

Open publisher page 1 citations

Abstract

This paper proposes a methodology that uses automatic speaker recognition for evaluating the speaker recognizability of processed speech. This methodology provides an efficient measure (an objective one) that is hoped to replace subjective tests which involve human listeners. Preliminary experiments have been conducted using speech processed through the following coders: LPC-10 2400 bps (FS 1015), CELP 4800 bps (FS 1016), and PSELP 2400 pbs.

About this research paper

What this paper is about

This paper proposes a methodology that uses automatic speaker recognition for evaluating the speaker recognizability of processed speech. This methodology provides an efficient measure (an objective one) that is hoped to replace subjective tests which involve human listeners. Preliminary experiments have been conducted using speech processed through the following coders: LPC-10 2400 bps (FS 1015), CELP 4800 bps (FS 1016), and PSELP 2400 pbs.

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Available abstract

This paper proposes a methodology that uses automatic speaker recognition for evaluating the speaker recognizability of processed speech. This methodology provides an efficient measure (an objective one) that is hoped to replace subjective tests which involve human listeners. Preliminary experiments have been conducted using speech processed through the following coders: LPC-10 2400 bps (FS 1015), CELP 4800 bps (FS 1016), and PSELP 2400 pbs.

Key concepts: Speech recognition, Computer science, Code-excited linear prediction, Speaker recognition, Speech coding, Speech processing, Voice activity detection, Linear predictive coding

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