76 search results - page 2 / 16 » An Empirical Exploration of Hidden Markov Models: From Spell... |
INTERSPEECH
2010
12 years 11 months ago
2010
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
IPCV
2008
13 years 6 months ago
2008
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
ISMIR
2003
Springer
13 years 10 months ago
2003
Springer
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological ana...
NAACL
2010
13 years 2 months ago
2010
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
FLAIRS
2008
13 years 7 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...