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Improved modeling for F0 generation and V/U decision in HMM-based TTS.

, , , , , and . ICASSP, page 4606-4609. IEEE, (2010)

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Unsupervised speaker adaptation of BLSTM-RNN for LVCSR based on speaker code., , , and . ISCSLP, page 1-5. IEEE, (2016)M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge., , , , , , , , , and 2 other author(s). ICASSP, page 6167-6171. IEEE, (2022)A Real-Time Speaker Diarization System Based on Spatial Spectrum., , , , , and . ICASSP, page 7208-7212. IEEE, (2021)Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition., , and . INTERSPEECH, page 2180-2184. ISCA, (2019)Tip tap tones: mobile microtraining of mandarin sounds., , , , , and . Mobile HCI (Companion), page 215-216. ACM, (2012)Deep Feed-Forward Sequential Memory Networks for Speech Synthesis., , , , and . ICASSP, page 4794-4798. IEEE, (2018)A Study on Improving Acoustic Model for Robust and Far-Field Speech Recognition., , , and . DSP, page 1-5. IEEE, (2018)Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)., , , , , , , , , and . ICASSP, page 1-2. IEEE, (2023)Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System., , , , and . INTERSPEECH, page 3247-3251. ISCA, (2023)MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition., , , , , , and . INTERSPEECH, page 4943-4947. ISCA, (2023)