Open-Source Conversational AI with SpeechBrain 10
<|reference_start|>Open-Source Conversational AI with SpeechBrain 10: SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and replicability by releasing both the pre-trained models and the complete "recipes" of code and algorithms required for training them. This paper presents SpeechBrain 1.0, a significant milestone in the evolution of the toolkit, which now has over 200 recipes for speech, audio, and language processing tasks, and more than 100 models available on Hugging Face. SpeechBrain 1.0 introduces new technologies to support diverse learning modalities, Large Language Model (LLM) integration, and advanced decoding strategies, along with novel models, tasks, and modalities. It also includes a new benchmark repository, offering researchers a unified platform for evaluating models across diverse tasks.<|reference_end|>
@article{ravanelli2024open-source,
    title={Open-Source Conversational AI with SpeechBrain 1.0},
    author={Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen,
  Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della
  Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu
  Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku
  Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi,
  Andreas Nautsch, Ha Nguyen, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima
  Mdhaffar, Gaelle Laperriere, Mickael Rouvier, Renato De Mori, Yannick Esteve},
    journal={arXiv preprint arXiv:2407.00463},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.00463},
    primaryClass={cs.LG cs.AI cs.CL cs.HC eess.AS}
}