Improving Fairness and Robustness in End-to-End Speech Recognition Through Unsupervised Clustering.
Irina-Elena VelichePascale FungPublished in: ICASSP (2023)
Keyphrases
- end to end
- speech recognition
- unsupervised clustering
- supervised classification
- hidden markov models
- language model
- clustering method
- automatic speech recognition
- speech synthesis
- image segmentation
- congestion control
- speech signal
- k means
- pattern recognition
- speech recognizer
- speech recognition systems
- clustering algorithm
- fuzzy c means
- document clustering
- subband
- unsupervised learning
- information retrieval systems
- high dimensional
- digital libraries
- feature selection