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| Paper: | SP-P3.15 |
| 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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