facebookresearch/fairseq

Is same base model used for MMS-ASR and MMS-TTS (like AudioPaLM)?

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#5,221 创建于 2023年6月27日

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描述

Google introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation.

How about the MMS? I found fine-tuning MMS ASR based on pretrained base model mms-1b, but I can not find for TTS. Is the same base model mms-1b used for MMS-TTS? How can I fine-tuning or add new language for TTS?

贡献者指南

技术栈
pythonpytorch
领域
machine learningai
议题类型
research
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
basic knowledge of speech modelsfamiliarity with fairseq
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
The issue asks whether the same base model (mms 1b) is used for both ASR and TTS in MMS. To answer, review the MMS paper (https://arxiv.org/abs/2305.13516) and the model release in the repository. Check the fairseq documentation for TTS fine tuning scripts. Look for any separate TTS checkpoints or configs. If none exist, note that TTS support may not be publicly available. Compare with AudioPaLM architecture as mentioned in the issue.