An evaluation toolkit for voice conversion models.

Related tags

Text Data & NLPVoice-conversion-evaluation
Overview

Voice-conversion-evaluation

An evaluation toolkit for voice conversion models.

Sample test pair

Generate the metadata for evaluating models.
The directory of parsers contains several available corpus parsers.

  python sampler.py [name of source corpus] [path of source dir] [name of target corpus] [path of target dir] -n [number of samples] -nt [number of target utterances] -o [path of output dir]

The pairs of metadata are sorted by src_second for long to short.
The metadata contains:

  • source_corpus: The name of the source corpus.
  • source_corpus_speaker_number: The number of speaker in source corpus.
  • source_random_seed: Random seed used for sampling source utterance.
  • target_corpus: The name of the target corpus.
  • target_corpus_speaker_number: The number of speaker in target corpus.
  • target_random_seed: Random seed used for sampling target utterances.
  • n_samples: number of samples
  • n_target_samples: number of target utterances
  • pairs: List of evaluating pairs
    • source_speaker: The name of the source speaker.
    • target_speaker: The name of the target speaker.
    • src_utt: The relative path of the source utterance, which is relative to the source dir.
    • tgt_utts: List of the relative path of target utterances, which is relative to the target dir.
    • content: The content of the source utterance.
    • src_second: The second of the source utterance.
    • converted: The entry does not appear when use sampler, you need to add the relative path for your converted output.

Metrics

The metrics include automatic mean opinion score assessment, character error rate, and speaker verification acceptance rate.

  • Automatic mean opinion score assessment
    • Ensemble several MBNet which is implemented by sky1456723.
      python calculate_objective_metric.py -d [data_dir] -r metrics/mean_opinion_score
  • Character error rate:
    • Use the automatic speech recognition model provided by Hugging Face.
    • The word error rate on Librispeech test-other is 3.9.
      python calculate_objective_metric.py -d [data_dir] -r metrics/character_error_rate
  • Speaker verification acceptance rate:
    • You can calculate the threshold by metrics/speaker_verification/equal_error_rate/.
    • And some pre-calculated thresholds are in metrics/speaker_verification/equal_error_rate/threshold.yaml.
      python calculate_objective_metric.py -d [data_dir] -r metrics/speaker_verification -t [target_dir] -th [threshold path]
You might also like...
Installation, test and evaluation of Scribosermo speech-to-text engine

Scribosermo STT Setup Scribosermo is a LGPL licensed, open-source speech recognition engine to "Train fast Speech-to-Text networks in different langua

Florian Quirin 3 Jun 20, 2022
GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

GCRC GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Eva

Yunxiao Zhao 5 Nov 4, 2022
Common Voice Dataset explorer

Common Voice Dataset Explorer Common Voice Dataset is by Mozilla Made during huggingface finetuning week Usage pip install -r requirements.txt streaml

Ceyda Cinarel 22 Nov 16, 2022
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!

Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co

null 19 Jun 30, 2022
Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis

MLP Singer Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis. Audio samples are available on our demo page.

Neosapience 103 Dec 23, 2022
Chinese real time voice cloning (VC) and Chinese text to speech (TTS).
Chinese real time voice cloning (VC) and Chinese text to speech (TTS).

Chinese real time voice cloning (VC) and Chinese text to speech (TTS). 好用的中文语音克隆兼中文语音合成系统，包含语音编码器、语音合成器、声码器和可视化模块。

Kuang Dada 6 Nov 8, 2022
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Clone a voice in 5 seconds to generate arbitrary speech in real-time

This repository is forked from Real-Time-Voice-Cloning which only support English. English | 中文 Features 🌍 Chinese supported mandarin and tested with

Weijia Chen 25.6k Jan 6, 2023
The simple project to separate mixed voice (2 clean voices) to 2 separate voices.
The simple project to separate mixed voice (2 clean voices) to 2 separate voices.

Speech Separation The simple project to separate mixed voice (2 clean voices) to 2 separate voices. Result Example (Clisk to hear the voices): mix ||

vuthede 31 Oct 30, 2022
Every Google, Azure & IBM text to speech voice for free

TTS-Grabber Quick thing i made about a year ago to download any text with any tts voice, over 630 voices to choose from currently. It will split the i

null 16 Dec 7, 2022
Releases(checkpoints)
Owner
GitHub Repository
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Maix Speech AI lib, including ASR, chat, TTS etc.

Maix-Speech 中文 | English Brief Now only support Chinese, See 中文 Build Clone code by: git clone https://github.com/sipeed/Maix-Speech Compile x86x64 c

Sipeed 267 Dec 25, 2022
A Python/Pytorch app for easily synthesising human voices

Voice Cloning App A Python/Pytorch app for easily synthesising human voices Documentation Discord Server Video guide Voice Sharing Hub FAQ's System Re

Ben Andrew 840 Jan 04, 2023
DataCLUE: 国内首个以数据为中心的AI测评（含模型分析报告）

DataCLUE 以数据为中心的AI测评(DataCLUE) DataCLUE: A Chinese Data-centric Language Evaluation Benchmark 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE)的背景 任务描述 任务描述 实验结果

CLUE benchmark 135 Dec 22, 2022
This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

XL-Sum This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Lang

189 Jan 02, 2023
The Sudachi synonym dictionary in Solar format.

solr-sudachi-synonyms The Sudachi synonym dictionary in Solar format. Summary Run a script that checks for updates to the Sudachi dictionary every hou

Karibash 3 Aug 19, 2022
vits chinese, tts chinese, tts mandarin

vits chinese, tts chinese, tts mandarin 史上训练最简单，音质最好的语音合成系统

AmorTX 12 Dec 14, 2022
Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

wangle 823 Dec 28, 2022
The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Unsupervised technique to Glossary and Definition Extraction Code Files GPT2-DefinitionModel.ipynb - GPT-2 model for definition generation. Data_Gener

Prakhar Mishra 28 May 25, 2021
texlive expressions for documents

tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation

Jörg Thalheim 70 Dec 26, 2022
The RWKV Language Model

RWKV-LM We propose the RWKV language model, with alternating time-mix and channel-mix layers: The R, K, V are generated by linear transforms of input,

PENG Bo 877 Jan 05, 2023
Awesome Treasure of Transformers Models Collection

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Ashish Patel 577 Jan 07, 2023
Blender addon - Scrub timeline from viewport with a shortcut

Viewport scrub timeline Move in the timeline directly in viewport and snap to nearest keyframe Note : This standalone feature will be added in the nat

Samuel Bernou 40 Nov 07, 2022
AEC_DeepModel - Deep learning based acoustic echo cancellation baseline code

AEC_DeepModel - Deep learning based acoustic echo cancellation baseline code

凌逆战 75 Dec 05, 2022
TPlinker for NER 中文/英文命名实体识别

本项目是参考 TPLinker 中HandshakingTagging思想，将TPLinker由原来的关系抽取(RE)模型修改为命名实体识别(NER)模型。

GodK 113 Dec 28, 2022
基于GRU网络的句子判断程序/A program based on GRU network for judging sentences

SentencesJudger SentencesJudger 是一个基于GRU神经网络的句子判断程序，基本的功能是判断文章中的某一句话是否为一个优美的句子。 English 如何使用SentencesJudger 确认Python运行环境 安装pyTorch与LTP python3 -m pip

8 Mar 24, 2022
End-to-End Speech Processing Toolkit

ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18

ESPnet 5.9k Jan 03, 2023
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

Explosion 1.2k Jan 08, 2023
This repository implements a brute-force spellchecker utilizing the Damerau-Levenshtein edit distance.

About spellchecker.py Implementing a highly-accurate, brute-force, and dynamically programmed spellchecking program that utilizes the Damerau-Levensht

Raihan Ahmed 1 Dec 11, 2021
2021搜狐校园文本匹配算法大赛baseline

sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline，主要是通过条件LayerNorm来增加模型的多样性，以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74，线上测试集F1约0.73。

苏剑林(Jianlin Su) 45 Sep 06, 2022