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)
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese

Table of contents Introduction Using BARTpho with fairseq Using BARTpho with transformers Notes BARTpho: Pre-trained Sequence-to-Sequence Models for V

VinAI Research 58 Dec 23, 2022
API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

gpt-j-api 🦜 An API to interact with the GPT-J language model. You can use and test the model in two different ways: Streamlit web app at http://api.v

VΓ­ctor Gallego 276 Dec 31, 2022
RecipeReduce: Simplified Recipe Processing for Lazy Programmers

RecipeReduce This repo will help you figure out the amount of ingredients to buy for a certain number of meals with selected recipes. RecipeReduce Get

Qibin Chen 9 Apr 22, 2022
The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

Subformer This repository contains the code for the Subformer. To help overcome this we propose the Subformer, allowing us to retain performance while

Machel Reid 10 Dec 27, 2022
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
Voice Assistant inspired by Google Assistant, Cortana, Alexa, Siri, ...

author: @shival_gupta VoiceAI This program is an example of a simple virtual assitant It will listen to you and do accordingly It will begin with wish

Shival Gupta 1 Jan 06, 2022
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
Python library for interactive topic model visualization. Port of the R LDAvis package.

pyLDAvis Python library for interactive topic model visualization. This is a port of the fabulous R package by Carson Sievert and Kenny Shirley. pyLDA

Ben Mabey 1.7k Dec 20, 2022
Traditional Chinese Text Recognition Dataset: Synthetic Dataset and Labeled Data

Traditional Chinese Text Recognition Dataset: Synthetic Dataset and Labeled Data Authors: Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang and Yi-Ren Ye

Yi-Chang Chen 5 Dec 15, 2022
This repository is home to the Optimus data transformation plugins for various data processing needs.

Transformers Optimus's transformation plugins are implementations of Task and Hook interfaces that allows execution of arbitrary jobs in optimus. To i

Open Data Platform 37 Dec 14, 2022
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs

New Benchmarks for Learning on Non-Homophilous Graphs Here are the codes and datasets accompanying the paper: New Benchmarks for Learning on Non-Homop

94 Dec 21, 2022
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam

Hiroki Nakayama 1.5k Dec 05, 2022
Python powered crossword generator with database with 20k+ polish words

crossword_generator Generate simple crossword puzzle from words and definitions fetched from krzyΕΌowki.edu.pl endpoints -/ string:word - returns js

0 Jan 04, 2022
My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per

Aflah 9 Oct 31, 2022
Use fastai-v2 with HuggingFace's pretrained transformers

FastHugs Use fastai v2 with HuggingFace's pretrained transformers, see the notebooks below depending on your task: Text classification: fasthugs_seq_c

Morgan McGuire 111 Nov 16, 2022
Chinese version of GPT2 training code, using BERT tokenizer.

GPT2-Chinese Description Chinese version of GPT2 training code, using BERT tokenizer or BPE tokenizer. It is based on the extremely awesome repository

Zeyao Du 5.6k Jan 04, 2023
Searching keywords in PDF file folders

keyword_searching Steps to use this Python scripts: (1)Paste this script into the file folder containing the PDF files you need to search from; (2)Thi

1 Nov 08, 2021
This code is the implementation of Text Emotion Recognition (TER) with linguistic features

APSIPA-TER This code is the implementation of Text Emotion Recognition (TER) with linguistic features. The network model is BERT with a pretrained mod

kenro515 1 Feb 08, 2022
Collection of useful (to me) python scripts for interacting with napari

Napari scripts A collection of napari related tools in various state of disrepair/functionality. Browse_LIF_widget.py This module can be imported, for

5 Aug 15, 2022
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective This is the official code base for our ICLR 2021 paper

AI Secure 71 Nov 25, 2022