Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge.
Mireia DíezLukás BurgetFederico LandiniShuai WangHonza CernockýPublished in: ICASSP (2020)
Keyphrases
- clustering algorithm
- k means
- hidden markov models
- speech recognition
- clustering method
- hierarchical clustering
- speaker diarization
- speaker identification
- data points
- speech signal
- data clustering
- cluster analysis
- information theoretic
- binary vectors
- graph theoretic
- data sets
- feature vectors
- bayesian networks
- anomaly detection
- posterior probability
- bayesian inference
- data driven
- automatic speech recognition
- bayesian learning
- bayesian estimation
- pattern recognition
- information retrieval