Unsupervised recognition and clustering of speech overlaps in spoken conversations.
Shammur Absar ChowdhuryGiuseppe RiccardiFiroj AlamPublished in: SLAM@INTERSPEECH (2014)
Keyphrases
- unsupervised learning
- spoken words
- speech recognition
- conversational speech
- automatic speech recognition
- recognition engine
- speech sounds
- spoken language
- clustering algorithm
- broadcast news
- information bottleneck
- unsupervised manner
- recognition accuracy
- speech signal
- recognition rate
- continuous speech recognition
- speech corpus
- unsupervised classification
- speaker independent
- unsupervised feature selection
- unsupervised clustering
- supervised classification
- clustering method
- object recognition
- speech recognition systems
- completely unsupervised
- semi supervised
- automatic speech recognition systems
- pattern recognition
- data clustering
- spontaneous speech
- handwriting recognition
- k means
- agglomerative clustering
- feature extraction
- data points
- supervised learning
- information theoretic
- cluster analysis
- minimum message length
- word sense induction
- hidden markov models
- speaker dependent
- spectral clustering
- recognition process
- noisy environments
- hierarchical clustering
- speaker identification
- self organizing maps
- cluster validation
- action recognition
- supervised training
- emotion recognition
- web people search
- speech synthesis