Topic-dependent Language Model Switching for Embedded Speech Recognition
|Marcos Santos Pérez|
|Addresses: www mail|
- 15:00, Friday, December 1st, 2011
- Room 20
- Marcos Santos Pérez, Universidade de Málaga
Nowadays, many of the applications for mobile embedded devices have a voice interface that uses Automatic Speech Recognition (ASR). In the case of multi-domain/topic speech recognition, other researchers propose the use of several recognizers in parallel or in series to improve the WER (Word Error Rate). This kind of approach is not feasible in embedded devices because the recognition time would be prohibitive. Another approach would be the use an external server to perform the recognition at expense of certain limitations (network availability, latency, etc.).
This work focuses on a new approach based on Language Model Switching (LMS). In this case, the topic detection and language switching are performed within a multipass ASR system running on an embedded device.
Note: This seminar will be held in English.