On the convergence of Gaussian mixture models: improvements through vector quantization.
James MoodyStefan SlomkaJason W. PelecanosSridha SridharanPublished in: ICSLP (1998)
Keyphrases
- vector quantization
- gaussian mixture model
- speaker recognition
- image compression
- mixture model
- vector quantizer
- maximum likelihood
- feature vectors
- expectation maximization
- em algorithm
- reduced complexity
- distortion measure
- feature space
- probability density
- multiresolution
- probability density function
- speaker identification
- finite state vector quantization
- codebook design
- density estimation
- multiscale
- similarity measure