Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model.
Keisuke KinoshitaMarc DelcroixTomoharu IwataPublished in: ICASSP (2022)
Keyphrases
- gaussian mixture model
- tight integration
- speaker identification
- mixture model
- speaker recognition
- em algorithm
- feature vectors
- maximum likelihood
- expectation maximization
- gaussian mixture
- background subtraction
- gaussian mixture modeling
- gaussian distribution
- feature space
- probability density function
- pattern recognition
- image classification
- speaker diarization
- language model
- feature transformation