| Presentation | 2004/12/15 Efficient Generation of high-order context-dependent Weighted Finite State Transducers for Speech Recognition Mike SCHUSTER, Takaaki HORI, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes an algorithm for efficient building of Weighted Finite State Transducers for speech recognition when high-order context-dependent models of order K > 3 (triphones) with tied states are used. After discussing some inefficiencies of the standard compilation method which make the use of high-order context-dependent models cumbersome and sometimes even impossible because of memory constraints, we show how an algorithm to build a part of the needed composed transducers directly from the decision trees in combination with an improved compilation process can lead to much faster, simpler and more memory-efficient compilation. In our case it also resulted in substantially smaller final networks. With the described algorithm it is simple to use high-order full cross-word models with little overhead directly within a one-pass time-synchronous search, which we test comparing resulting final network sizes, recognition rates and speed on a large, spontaneous Japanese speech database. Using the proposed algorithm it is possible to do real-time recognition using full cross-word quinphones with a large acoustic model in about 125MB of memory at about 9% search error. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Speech recognition / search / weighted finite state transducers |
| Paper # | NLC2004-83,SP2004-123 |
| Date of Issue |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2004/12/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Efficient Generation of high-order context-dependent Weighted Finite State Transducers for Speech Recognition |
| Sub Title (in English) | |
| Keyword(1) | Speech recognition |
| Keyword(2) | search |
| Keyword(3) | weighted finite state transducers |
| 1st Author's Name | Mike SCHUSTER |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories() |
| 2nd Author's Name | Takaaki HORI |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories |
| Date | 2004/12/15 |
| Paper # | NLC2004-83,SP2004-123 |
| Volume (vol) | vol.104 |
| Number (no) | 540 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |