Separating speaker and environment variabilities for improved recognition in non-stationary conditions.
Luca RigazioPatrick NguyenDavid KryzeJean-Claude JunquaPublished in: INTERSPEECH (2001)
Keyphrases
- non stationary
- environmental conditions
- autoregressive
- object recognition
- recognition rate
- adaptive algorithms
- white noise
- concept drift
- stock price
- speech recognition
- empirical mode decomposition
- mobile robot
- fractional brownian motion
- noisy environments
- temporal evolution
- computer vision
- multi component
- change point detection
- automatic speech recognition
- speech signal
- activity recognition