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| acoustic modelling (1) | acoustic signal processing (1) | Acoustics (1) |
| Adaptation (1) | Adaptation models (1) | AMI meetings (1) |
| Aurora4 (1) | Bayesian Networks (1) | beamforming (1) |
| bias adaptation (1) | Blizzard Challenge (1) | comprehension (1) |
| consistent word error rate reductions (1) | context information (1) | conversational speech (1) |
| CTC (1) | decision tree (1) | deep generative architecture (1) |
| deep neural network (2) | deep neural networks (1) | deep neural networks (DNNs) (1) |
| diagonal covariance matrices (1) | DNN acoustic model (1) | duration modelling (1) |
| evaluation (1) | F0 templates (1) | factorisation (1) |
| feature extraction (1) | forced alignment (1) | hidden Markov model (1) |
| Hidden Markov models (1) | HMM (2) | HMM-based speech synthesis (1) |
| intonation modelling (1) | language model (4) | learning hidden unit contributions (1) |
| learning hidden unit contributions (lHUC) (1) | LHUC (1) | LSTM (1) |
| modulation spectrum (1) | multiple microphone (1) | naturalness (1) |
| neural nets (1) | neural network (1) | neural network acoustic models (1) |
| neural network language model (1) | Neural networks (1) | paraphrase (4) |
| postfilter (1) | recurrent neural network (1) | repeated speech (1) |
| robust statistics (1) | SAT (1) | segmental quality (1) |
| speaker adaptation (1) | speaker adaptive training framework (1) | speaker informed training (1) |
| speaker recognition (1) | speaker-dependent manner (1) | speaker-independent manner (1) |
| Speech recognition (7) | speech recognition benchmarks (1) | speech synthesis (7) |
| statistical parametric speech synthesis (1) | stream independence (1) | Switchboard (1) |
| TED talks (1) | Training (1) | Transforms (1) |
| TTS (1) | unsupervised acoustic model adaptation (1) | unsupervised learning (1) |