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 Streamlit web app that generates Rick and Morty stories using GPT2.

Rick and Morty Story Generator This project uses a pre-trained GPT2 model, which was fine-tuned on Rick and Morty transcripts, to generate new stories

₸ornike 33 Oct 13, 2022
Sequence Modeling with Structured State Spaces

Structured State Spaces for Sequence Modeling This repository provides implementations and experiments for the following papers. S4 Efficiently Modeli

HazyResearch 902 Jan 06, 2023
Reformer, the efficient Transformer, in Pytorch

Reformer, the Efficient Transformer, in Pytorch This is a Pytorch implementation of Reformer https://openreview.net/pdf?id=rkgNKkHtvB It includes LSH

Phil Wang 1.8k Dec 30, 2022
An open source library for deep learning end-to-end dialog systems and chatbots.

DeepPavlov is an open-source conversational AI library built on TensorFlow, Keras and PyTorch. DeepPavlov is designed for development of production re

Neural Networks and Deep Learning lab, MIPT 6k Dec 30, 2022
This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project

Common Voice Utils This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project. It aims t

Francis Tyers 40 Dec 20, 2022
Training RNNs as Fast as CNNs

News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which

Tao Lei 14 Dec 12, 2022
Contact Extraction with Question Answering.

contactsQA Extraction of contact entities from address blocks and imprints with Extractive Question Answering. Goal Input: Dr. Max Mustermann Hauptstr

Jan 2 Apr 20, 2022
A collection of GNN-based fake news detection models.

This repo includes the Pytorch-Geometric implementation of a series of Graph Neural Network (GNN) based fake news detection models. All GNN models are implemented and evaluated under the User Prefere

SafeGraph 251 Jan 01, 2023
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Hugging Face 15k Jan 02, 2023
Text Classification in Turkish Texts with Bert

You can watch the details of the project on my youtube channel Project Interface Project Second Interface Goal= Correctly guessing the classification

42 Dec 31, 2022
PyJPBoatRace: Python-based Japanese boatrace tools 🚤

pyjpboatrace :speedboat: provides you with useful tools for data analysis and auto-betting for boatrace.

5 Oct 29, 2022
A list of NLP(Natural Language Processing) tutorials

NLP Tutorial A list of NLP(Natural Language Processing) tutorials built on PyTorch. Table of Contents A step-by-step tutorial on how to implement and

Allen Lee 1.3k Dec 25, 2022
Large-scale pretraining for dialogue

A State-of-the-Art Large-scale Pretrained Response Generation Model (DialoGPT) This repository contains the source code and trained model for a large-

Microsoft 1.8k Jan 07, 2023
A NLP program: tokenize method, PoS Tagging with deep learning

IRIS NLP SYSTEM A NLP program: tokenize method, PoS Tagging with deep learning Report Bug · Request Feature Table of Contents About The Project Built

Zakaria 7 Dec 13, 2022
MicBot - MicBot uses Google Translate to speak everyone's chat messages

MicBot MicBot uses Google Translate to speak everyone's chat messages. It can al

2 Mar 09, 2022
ACL'2021: Learning Dense Representations of Phrases at Scale

DensePhrases DensePhrases is an extractive phrase search tool based on your natural language inputs. From 5 million Wikipedia articles, it can search

Princeton Natural Language Processing 540 Dec 30, 2022
Quick insights from Zoom meeting transcripts using Graph + NLP

Transcript Analysis - Graph + NLP This program extracts insights from Zoom Meeting Transcripts (.vtt) using TigerGraph and NLTK. In order to run this

Advit Deepak 7 Sep 17, 2022
An A-SOUL Text Generator Based on CPM-Distill.

ASOUL-Generator-Backend 本项目为 https://asoul.infedg.xyz/ 的后端。 模型为基于 CPM-Distill 的 transformers 转化版本 CPM-Generate-distill 训练而成。

infinityedge 46 Dec 11, 2022
This project deals with a simplified version of a more general problem of Aspect Based Sentiment Analysis.

Aspect_Based_Sentiment_Extraction Created on: 5th Jan, 2022. This project deals with an important field of Natural Lnaguage Processing - Aspect Based

Naman Rastogi 4 Jan 01, 2023
NLP Core Library and Model Zoo based on PaddlePaddle 2.0

PaddleNLP 2.0拥有丰富的模型库、简洁易用的API与高性能的分布式训练的能力，旨在为飞桨开发者提升文本建模效率，并提供基于PaddlePaddle 2.0的NLP领域最佳实践。

6.9k Jan 01, 2023