Model Card for Indic Mio Indic Mio is an open source Text to Speech (TTS) model that supports all 22 scheduled Indian languages and English . Produces high quality natural sounding speech at 44kHz with less than 0.1 RTF . Zero shot voice cloning supported via speaker embeddings in the codec. Also works well for code mixed sentences. This model is a fine tuned version of Aratako/MioTTS 0.6B which uses MioCodec for speech tokenization. Prompting For emotion and style control, place the tags at the end of the sentence. For example: मुझे यह फिल्म बहुत पसंद आई! or I am not sure if I can do this. Tags for Indian languages: , , , , , Tags for English: , , , , , A word can be stressed by using asterisks( ) around it. For example: No! I could never do it! Inference Approach 1: With MioTTS Inference (recommended) Install vllm and set up MioTTS Inference. Approach 2: Directly with Transformers Training This model was trained on a single NVIDIA A6000 ADA GPU in less than 6 hours. For Indian languages, IndicTTS, Rasa and Syspin datasets were used. For American English, LibriTTS and Expresso, while for Indian English, SPICOR dataset was used. Fine tuning This model is robust yet flexible. You ca…
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