facebookresearch/fairseq

Any plan to support TTS for cmn?

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#5,446 opened on Mar 1, 2024

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enhancementhelp wantedneeds triage

Description

馃殌 Feature Request

TTS support for cmn

Motivation

I'd like to try the TTS for cmn and compare it with NVIDIA Riva, Flytech, and Alibaba TTS etc.

Pitch

It seems that hak & nan have already been supported, it would be great if TTS for cmn can be supported ASAP :)

ISO 693-3 | Language Name | Language Family | Subgrouping | ASR | TTS | LID | 聽 cmn | Chinese, Mandarin | Sino-Tibetan | Chinese | 鉁旓笍 (script: simplified) | 聽 | 鉁旓笍 | Ethnologue hak | Chinese, Hakka | Sino-Tibetan | Chinese | 鉁旓笍 | 鉁旓笍 | 鉁旓笍 | Ethnologue nan | Chinese, Min Nan | Sino-Tibetan | Chinese | 鉁旓笍 | 鉁旓笍 | 鉁旓笍 | Ethnologue

Contributor guide

Tech stack
pythonpytorch
Domain
machine learningai
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
Familiarity with TTS architecturesBasic knowledge of Mandarin phonology
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
This is a feature request for adding TTS support for Mandarin Chinese (cmn). No concrete implementation steps are provided. To proceed, investigate existing TTS implementations for hak and nan in the fairseq repository (e.g., in the examples or configs). Determine the required data, model modifications, and evaluation metrics. Since the issue is open with no maintainer response, consider asking for clarification on the desired scope and whether contributions are welcome.
Any plan to support TTS for cmn? 路 facebookresearch/fairseq#5446 | Good First Issue