Description
深入探讨新颖的TDT(词元与时长转换器)模型架构,它如何通过联合预测词元及其时长,在语音识别、语音翻译和口语理解任务中实现更高的准确性和显著的推理加速。我们将讨论其核心机制、实验结果以及相比传统转换器模型的优势。
Audio
Featured in this Episode
No persons identified in this episode.
Transcription
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
0
upvotes
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Eric Larsen on the emergence and potential of AI in healthcare
10 Dec 2025
McKinsey on Healthcare
Reducing Burnout and Boosting Revenue in ASCs
10 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
Dr. Erich G. Anderer, Chief of the Division of Neurosurgery and Surgical Director of Perioperative Services at NYU Langone Hospital–Brooklyn
09 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
Dr. Nolan Wessell, Assistant Professor and Well-being Co-Director, Department of Orthopedic Surgery, Division of Spine Surgery, University of Colorado School of Medicine
08 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
NPR News: 12-08-2025 2AM EST
08 Dec 2025
NPR News Now
NPR News: 12-08-2025 1AM EST
08 Dec 2025
NPR News Now