Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario.
Chiang-Jen PengYun-Ju ChanCheng YuSyu-Siang WangYu TsaoTai-Shih ChiPublished in: CoRR (2021)
Keyphrases
- speaker identification
- multi task learning
- noisy environments
- speech signal
- multi task
- speech recognition
- speaker recognition
- learning tasks
- vocal tract
- noise reduction
- non stationary
- automatic speech recognition
- gaussian mixture model
- transfer learning
- mel frequency cepstral coefficients
- focus of attention
- feature extraction
- feature selection
- multi class
- hidden markov models
- generative model
- image classification
- pairwise
- bayesian networks
- speaker diarization
- machine learning