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Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion.

, , , , , and . CoRR, (2020)

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Investigation of Data Augmentation Techniques for Disordered Speech Recognition., , , , , , and . CoRR, (2022)The development of the cambridge university alignment systems for the multi-genre broadcast challenge., , , , , , , and . ASRU, page 647-653. IEEE, (2015)Use of contexts in language model interpolation and adaptation., , and . Comput. Speech Lang., 27 (1): 301-321 (2013)Language model cross adaptation for LVCSR system combination., , and . Comput. Speech Lang., 27 (4): 928-942 (2013)Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech., , , and . CoRR, (2020)Automatic Complexity Control of Generalized Variable Parameter HMMs for Noise Robust Speech Recognition., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (1): 102-114 (2015)Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic Posteriorgrams., , , , , and . INTERSPEECH, page 714-718. ISCA, (2019)Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance., , , , , and . INTERSPEECH, page 496-500. ISCA, (2018)Semi-supervised Cross-domain Visual Feature Learning for Audio-Visual Broadcast Speech Transcription., , and . INTERSPEECH, page 3509-3513. ISCA, (2018)Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition., , , and . Interspeech, page 4808-4812. ISCA, (2021)