Text-to-Speech for Belarusian language

Overview
title emoji colorFrom colorTo sdk app_file pinned
Belarusian TTS
🐸
green
green
gradio
app.py
false

Belarusian TTS πŸ“’ πŸ€–

Belarusian TTS (text-to-speech) using Coqui TTS.

Trained on Belarusian language corpus.

Link to online demo -> https://huggingface.co/spaces/robinhad/belarusian-tts

Example

example.mp4

How to use :

  1. pip install -r requirements.txt.
  2. Download model from "Releases" tab.
  3. Launch as one-time command:
tts --text "Text for TTS" \
    --model_path path/to/model.pth.tar \
    --config_path path/to/config.json \
    --out_path folder/to/save/output.wav

or alternatively launch web server using:

tts-server --model_path path/to/model.pth.tar \
    --config_path path/to/config.json

How to train:

  1. Refer to "Nervous beginner guide" in Coqui TTS docs.
  2. Instead of provided config.json use one from this repo.

Attribution

Code for app.py taken from https://huggingface.co/spaces/julien-c/coqui

You might also like...
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

⚠️ Checkout develop branch to see what is coming in pyannote.audio 2.0: a much smaller and cleaner codebase Python-first API (the good old pyannote-au

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
Speech Recognition for Uyghur using Speech transformer

Speech Recognition for Uyghur using Speech transformer Training: this model using CTC loss and Cross Entropy loss for training. Download pretrained mo

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari Overview | Performance | Installation | Documentation | Contributing πŸŽ‰ πŸŽ‰ πŸŽ‰ We released the 2.0.0 version with TF2 Support. πŸŽ‰ πŸŽ‰ πŸŽ‰ If you

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari Overview | Performance | Installation | Documentation | Contributing πŸŽ‰ πŸŽ‰ πŸŽ‰ We released the 2.0.0 version with TF2 Support. πŸŽ‰ πŸŽ‰ πŸŽ‰ If you

Text-Summarization-using-NLP - Text Summarization using NLP  to fetch BBC News Article and summarize its text and also it includes custom article Summarization DELTA is a deep learning based natural language and speech processing platform.
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

DELTA is a deep learning based natural language and speech processing platform.
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

PyTorch implementation of
PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI

data2vec-pytorch PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI (F

Releases(v0.0.1)
This repository contains helper functions which can help you generate additional data points depending on your NLP task.

NLP Albumentations For Data Augmentation This repository contains helper functions which can help you generate additional data points depending on you

Aflah 6 May 22, 2022
Various Algorithms for Short Text Mining

Short Text Mining in Python Introduction This package shorttext is a Python package that facilitates supervised and unsupervised learning for short te

Kwan-Yuet 466 Dec 06, 2022
Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".

Patience-based Early Exit Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit". NEWS: We now have a better and tidier i

Kevin Canwen Xu 54 Jan 04, 2023
Python library to make development of portfolio analysis faster and easier

Trafalgar Python library to make development of portfolio analysis faster and easier Installation πŸ”₯ For the moment, Trafalgar is still in beta develo

Santosh Passoubady 641 Jan 01, 2023
IEEEXtreme15.0 Questions And Answers

IEEEXtreme15.0 Questions And Answers IEEEXtreme is a global challenge in which teams of IEEE Student members – advised and proctored by an IEEE member

Dilan Perera 15 Oct 24, 2022
CorNet Correlation Networks for Extreme Multi-label Text Classification

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

Guangxu Xun 38 Dec 31, 2022
λ‰΄μŠ€ 도메인 μ§ˆμ˜μ‘λ‹΅ μ‹œμŠ€ν…œ (21-1ν•™κΈ° μ‘Έμ—… ν”„λ‘œμ νŠΈ)

λ‰΄μŠ€ 도메인 μ§ˆμ˜μ‘λ‹΅ μ‹œμŠ€ν…œ λ³Έ ν”„λ‘œμ νŠΈλŠ” λ‰΄μŠ€κΈ°μ‚¬μ— λŒ€ν•œ μ§ˆμ˜μ‘λ‹΅ μ„œλΉ„μŠ€ λ₯Ό μ œκ³΅ν•˜κΈ° μœ„ν•΄μ„œ μ§„ν–‰ν•œ ν”„λ‘œμ νŠΈμž…λ‹ˆλ‹€. μ•½ 3κ°œμ›”κ°„ ( 21. 03 ~ 21. 05 ) μ§„ν–‰ν•˜μ˜€μœΌλ©° Transformer 아킀텍쳐 기반의 Encoderλ₯Ό μ‚¬μš©ν•˜μ—¬ ν•œκ΅­μ–΄ μ§ˆμ˜μ‘λ‹΅ λ°μ΄ν„°μ…‹μœΌλ‘œ

TaegyeongEo 4 Jul 08, 2022
BERTopic is a topic modeling technique that leverages πŸ€— transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions

BERTopic BERTopic is a topic modeling technique that leverages πŸ€— transformers and c-TF-IDF to create dense clusters allowing for easily interpretable

Maarten Grootendorst 3.6k Jan 07, 2023
Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch

COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were a

Phil Wang 44 Jul 28, 2022
πŸ’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Rasa Open Source Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual

Rasa 15.3k Dec 30, 2022
A desktop GUI providing an audio interface for GPT3.

Jabberwocky neil_degrasse_tyson_with_audio.mp4 Project Description This GUI provides an audio interface to GPT-3. My main goal was to provide a conven

16 Nov 27, 2022
sangha, pronounced "suhng-guh", is a social networking, booking platform where students and teachers can share their practice.

Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github

Courtney Newcomer 17 Sep 29, 2021
Random-Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.

Random Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short links

Mohammed Rabil 1 Jan 01, 2022
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding

Wav2Vec2CTC With KenLM Using KenLM ARPA language model with beam search to decode audio files and show the most probable transcription. Assuming you'v

farisalasmary 65 Sep 21, 2022
Transformer related optimization, including BERT, GPT

This repository provides a script and recipe to run the highly optimized transformer-based encoder and decoder component, and it is tested and maintained by NVIDIA.

NVIDIA Corporation 1.7k Jan 04, 2023
Wind Speed Prediction using LSTMs in PyTorch

Implementation of Deep-Forecast using PyTorch Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Adapted from original implementation Setu

Onur Kaplan 151 Dec 14, 2022
Graph Coloring - Weighted Vertex Coloring Problem

Graph Coloring - Weighted Vertex Coloring Problem This project proposes several local searches and an MCTS algorithm for the weighted vertex coloring

Cyril 1 Jul 08, 2022
Intent parsing and slot filling in PyTorch with seq2seq + attention

PyTorch Seq2Seq Intent Parsing Reframing intent parsing as a human - machine translation task. Work in progress successor to torch-seq2seq-intent-pars

Sean Robertson 159 Apr 04, 2022
Experiments in converting wikidata to ftm

FollowTheMoney / Wikidata mappings This repo will contain tools for converting Wikidata entities into FtM schema. Prefixes: https://www.mediawiki.org/

Friedrich Lindenberg 2 Nov 12, 2021