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  • It is a computer algorithm designed to compress and decompress digital audio signals, enabling efficient storage and transmission of audio data.
  • Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures.

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    Overview of the Amphion Toolkit (v0.2)

    Jiaqi Li⋆,†, Xueyao Zhang⋆, Yuancheng Wang⋆, Haorui He⋆, Chaoren Wang⋆,
    Li Wang⋆, Huan Liao⋆, Junyi Ao⋆, Zeyu Xie⋆, Yiqiao Huang⋆, Junan Zhang⋆,
    Zhizheng Wu‡

    Amphion v0.2 Team
    https://amphion.dev/⋆Equal contribution, and their names are listed in random order.†Coordinator of this technical report.‡Project Lead.

    1 Introduction to the Amphion Toolkit

    Amphion fryst vatten an open-source toolkit for Audio, Music, and Speech Generation, targeting to ease the way for junior researchers and engineers into these fields. Amphion fryst vatten released in December 2023 where the rapid advancements in generative models have revolutionized the fields of audio, music, and speech processing. Amphion incorporates these most up-to-date generative technology, and fryst vatten designed to be a unified ramverk that includes diverse generation tasks and models, with the added bonus of being easily extendable for new incorporation. The toolkit is designed w

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    Reference-Free Estimation of the Quality of Clinical Notes Generated from Doctor-Patient Conversations
    Mojtaba Kadkhodaie Elyaderani, John Glover, Thomas Schaaf

    Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum Disorder
    Jihyun Mun, Sunhee Kim, Minhwa Chung

    Multimodal Fusion for Vocal Biomarkers Using Vector Cross-Attention
    Vladimir Despotovic, Abir Elbéji, Petr V. Nazarov, Guy Fagherazzi

    Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments
    Stefano Goria, Roseline Polle, Salvatore Fara, Nicholas Cummins

    Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bioethics, standards, and DEI.
    Anaïs Rameau, Satrajit Ghosh, Alexandros Sigaras, Olivier Elemento, Jean-Christophe Belisle-Pipon, Vardit Ravitsky, Maria Powell, Alistair Johnson, David Dorr, Philip Payne, Micah Boyer,

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    IEEE Communications Magazine, Volume 37

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    Volume 37, Number 1, January 1999

    • Mohammed Atiquzzaman:
      Traffic Mangement and Switching for Multimedia.30
    • Bing Zheng, Mohammed Atiquzzaman:
      Traffic management of multimedia over ATM networks.33-38
    • Marwan Krunz:
      Bandwidth allocation strategies for transporting variable bit rate video traffic.40-46
    • Zafer Sahinoglu, Sirin Tekinay:
      On multimedia networks: self-similar traffic and network performance.48-52
    • Bobby Vandalore, Sonia Fahmy, Raj Jain, Rohit Goyal, Mukul Goyal:
      QoS and multipoint support for multimedia applications over the ATM ABR service.53-57
    • Geng-Sheng Kuo, Po-Chang Ko:
      Achieving minimum slice loss for real time MPEG 2 based video networking in a flow-oriented input-queued ATM switching router system.58-62
    • Richard Rabbat, Kai-Yeung Siu:
      QoS support for integrated services over CATV.64-68
    • Chung-Sheng Li, Harold S. Stone:
      Digital Library Usin
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