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AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark.

, , , , , , and . INTERSPEECH, page 421-425. ISCA, (2023)

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Scenario-Dependent Speaker Diarization for DIHARD-III Challenge., , , , , and . Interspeech, page 3106-3110. ISCA, (2021)AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark., , , , , , and . INTERSPEECH, page 421-425. ISCA, (2023)The USTC-Ximalaya System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription (M2met) Challenge., , , , , , , , , and 1 other author(s). ICASSP, page 9166-9170. IEEE, (2022)Online Neural Speaker Diarization with Core Samples., , and . CCBR, volume 13628 of Lecture Notes in Computer Science, page 364-372. Springer, (2022)Integration of Speech Separation, Diarization, and Recognition for Multi-Speaker Meetings: System Description, Comparison, and Analysis., , , , , , , , , and 4 other author(s). SLT, page 897-904. IEEE, (2021)Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker., , , , , and . Interspeech, page 3555-3559. ISCA, (2021)Unsupervised Adaptation with Quality-Aware Masking to Improve Target-Speaker Voice Activity Detection for Speaker Diarization., , , , , and . INTERSPEECH, page 3482-3486. ISCA, (2023)