Mixed-memory Markov models for automatic language identification

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2002, Pages

  Kirchhoff, Katrin ^a   Parandekar, Sonia ^a   Bilmes, Jeff ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY; SPEECH; SPEECH ANALYSIS; TELEPHONE SETS;

ARTICULATORY FEATURE; AUTOMATIC LANGUAGE IDENTIFICATION; LARGE VOCABULARY SPEECH RECOGNITION; MIXED MEMORY MARKOV; MULTILINGUAL SPEECH; PHONE SEQUENCE; PHONOTACTIC;

SPEECH RECOGNITION;

EID: 17344390262     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5743829     Document Type: Conference Paper

References (9)

1. Comparison of four approaches to automatic language identification of telephone speech
2. Multi-stream statistical language modeling with application to automatic language identification
3. Aggregate and mixed-order markov models for statistical language processing
4. Mixed memory markov models
5. Loosely coupled HMMs for ASR
6. The OGI multi-language telephone speech corpus
7. The graphical models toolkit: An open source software system for speech and time-series processing
8. Statistical language modeling using the CMU-Cambridge toolkit