| Paper: | SP-P3.15 (ICASSP 2003 Paper) | ||
| Session: | Topics in Speaker and Langauge Recognition | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster (ICASSP 2003 Presentation) | ||
| Topic: | Speech Processing: Lexical Issues | ||
| Title: | SYMBOLIC SPEAKER ADAPTATION WITH PHONE INVENTORY EXPANSION | ||
| Authors: | Kyung-Tak Lee; Institut Eurécom | ||
| Lynette Melnar; Motorola Labs | |||
| Jim Talley; Motorola Labs | |||
| Christian J. Wellekens; Institut Eurécom | |||
| Abstract: | This paper further develops a previously proposed adaptation method for speech recognition called Symbolic Speaker Adaptation (SSA). The basic idea of SSA is to model a speaker's pronunciation as a blend of speech varieties (SVs) - regional dialects and foreign accents - for which the system has existing pronunciation models. The system determines during an adaptation process the relative applicability of those models, yielding a speech variety profile (SVP) for each speaker. Speaker-dependent lexica for recognition are determined from a speaker's SVP. In this paper, we discuss a series of experiments designed to analyze how the SSA method is affected by SV-balanced training, expanded phone inventories, reduced amounts of adaptation data, and speech from SVs not modeled by the system. The most dramatic improvements were obtained by using expanded (''SV-inclusive'') phone inventories. SSA was also shown to be effective with a very small number of adaptation sentences. And, SSA's SV blending scheme yields higher accuracy than using a SV classification scheme for speakers of novel (unseen) SVs. | ||
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