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Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR.

, , , , , , and . SLT, page 68-75. IEEE, (2022)

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Directed automatic speech transcription error correction using bidirectional LSTM., , , and . ISCSLP, page 1-5. IEEE, (2016)Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses., , , , , and . ICASSP, page 7677-7681. IEEE, (2022)Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR., , , , and . CCL, volume 10565 of Lecture Notes in Computer Science, page 398-410. Springer, (2017)An investigation of context clustering for statistical speech synthesis with deep neural network., , , and . INTERSPEECH, page 2212-2216. ISCA, (2015)Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation., , , , , , , , , and . Interspeech, page 736-740. ISCA, (2021)DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment., , , , , , and . CoRR, (2024)A Unified Confidence Measure Framework Using Auxiliary Normalization Graph., , and . IScIDE, volume 10559 of Lecture Notes in Computer Science, page 123-133. Springer, (2017)Incremental Lattice Determinization for WFST Decoders., , , , , , and . ASRU, page 1-7. IEEE, (2019)Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages, , , , , , , , , and 17 other author(s). (2023)cite arxiv:2303.01037Comment: 20 pages, 7 figures, 8 tables.Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR., , , , , , and . SLT, page 68-75. IEEE, (2022)