Effect of importance sampling on robust segmentation of audio-cough events in noisy environments.
Jesus Monge-AlvarezCarlos Hoyos-BarceloPaul LessoJavier EscuderoKeshav P. DahalPablo Casaseca-de-la-HigueraPublished in: EMBC (2016)
Keyphrases
- importance sampling
- noisy environments
- robust segmentation
- speaker identification
- monte carlo
- speech recognition
- markov chain
- kalman filter
- noise reduction
- iris recognition
- particle filtering
- shape prior
- approximate inference
- automatic speech recognition
- particle filter
- speech signal
- machine learning
- markov chain monte carlo
- signal processing
- higher order