glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end.

Related tags

Text Data & NLPglow-speak
Overview

Glow-Speak

glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end.

Installation

git clone https://github.com/rhasspy/glow-speak.git
cd glow-speak/

python3 -m venv .venv
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install --upgrade setuptools wheel
pip3 install -f 'https://synesthesiam.github.io/prebuilt-apps/' -r requirements.txt

python3 setup.py develop
glow-speak --version

Voices

The following languages/voices are supported:

  • German
    • de_thorsten
  • Chinese
    • cmn_jing_li
  • Greek
    • el_rapunzelina
  • English
    • en-us_ljspeech
    • en-us_mary_ann
  • Spanish
    • es_tux
  • Finnish
    • fi_harri_tapani_ylilammi
  • French
    • fr_siwis
  • Hungarian
    • hu_diana_majlinger
  • Italian
    • it_riccardo_fasol
  • Korean
    • ko_kss
  • Dutch
    • nl_rdh
  • Russian
    • ru_nikolaev
  • Swedish
    • sv_talesyntese
  • Swahili
    • sw_biblia_takatifu
  • Vietnamese
    • vi_vais1000

Usage

Download Voices

glow-speak-download de_thorsten

Command-Line Synthesis

glow-speak -v en-us_mary_ann 'This is a test.' --output-file test.wav

HTTP Server

glow-speak-http-server --debug

Visit http://localhost:5002

Socket Server

Start the server:

glow-speak-socket-server --voice en-us_mary_ann --socket /tmp/glow-speak.sock

From a separate terminal:

echo 'This is a test.' | bin/glow-speak-socket-client --socket /tmp/glow-speak.sock | xargs aplay

Lines from client to server are synthesized, and the path to the WAV file is returned (usually in /tmp).

You might also like...
End-to-End Speech Processing Toolkit
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 3, 2023
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Soohwan Kim 26 Dec 14, 2022
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Soohwan Kim 86 Jun 11, 2021
Athena is an open-source implementation of end-to-end speech processing engine.

Athena is an open-source implementation of end-to-end speech processing engine. Our vision is to empower both industrial application and academic research on end-to-end models for speech processing. To make speech processing available to everyone, we're also releasing example implementation and recipe on some opensource dataset for various tasks (Automatic Speech Recognition, Speech Synthesis, Voice Conversion, Speaker Recognition, etc).

Ke Technologies 34 Sep 8, 2022
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

🤗 Contributing to OpenSpeech 🤗 OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform ta

Openspeech TEAM 513 Jan 3, 2023
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio

Machine Translation @ UPC 21 Dec 20, 2022
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

CRNN paper：An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 1. create your ow

Tsukinousag1 3 Apr 2, 2022
Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks

Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks. It takes raw videos/images + text as inputs, and outputs task predictions. ClipBERT is designed based on 2D CNNs and transformers, and uses a sparse sampling strategy to enable efficient end-to-end video-and-language learning.

Jie Lei 雷杰 612 Jan 4, 2023
Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge This is an implementation of the paper,

Mutian He 19 Oct 14, 2022
Comments
  • AssertionError on web interface (only) - and Raspberry Pi Bullseye test

    AssertionError on web interface (only) - and Raspberry Pi Bullseye test

    Hi Micheal,

    great work again! :smiley:

    I just saw this repository and thought I'd give it a try on my freshly installed Raspberry Pi 4 with 32bit Raspberry Pi OS Bullseye (Debian 11). Installation almost finished without errors! :partying_face: ... I just had to fix one thing: sudo apt-get install libatlas-base-dev After 15min I was already generating audio :grin: :+1:

    When I tested en mary_ann and thorsten_de via the web interface I got this error as soon as my test sentence ended with a question mark:

    DEBUG:glow-speak:ɪ_z ð_ɪ_s ɐ_n_ˈʌ_ð_ɚ t_ˈɛ_s_t? .
ERROR:glow_speak.http_server:
Traceback (most recent call last):
  File "/home/pi/glow-speak/.venv/lib/python3.9/site-packages/quart/app.py", line 1490, in full_dispatch_request
    result = await self.dispatch_request(request_context)
  File "/home/pi/glow-speak/.venv/lib/python3.9/site-packages/quart/app.py", line 1536, in dispatch_request
    return await self.ensure_async(handler)(**request_.view_args)
  File "/home/pi/glow-speak/glow_speak/http_server.py", line 484, in app_say
    wav_bytes = await text_to_wav(text, voice, **tts_args)
  File "/home/pi/glow-speak/glow_speak/http_server.py", line 323, in text_to_wav
    text_ids = text_to_ids(
  File "/home/pi/glow-speak/glow_speak/__init__.py", line 110, in text_to_ids
    text_ids = phonemes2ids(
  File "/home/pi/glow-speak/.venv/lib/python3.9/site-packages/phonemes2ids/__init__.py", line 190, in phonemes2ids
    maybe_extend_ids(sub_phoneme, word_ids, append_list=False)
  File "/home/pi/glow-speak/.venv/lib/python3.9/site-packages/phonemes2ids/__init__.py", line 108, in maybe_extend_ids
    maybe_ids = missing_func(phoneme)
  File "/home/pi/glow-speak/glow_speak/__init__.py", line 59, in guess_ids
    typing.List[Phoneme], guess_phonemes(phoneme, self.to_phonemes)
  File "/home/pi/glow-speak/.venv/lib/python3.9/site-packages/gruut_ipa/accent.py", line 159, in guess_phonemes
    assert dist_split is not None
AssertionError

    Maybe some encoding error when reading the web input?

    Speed seems pretty good, comparable to Larynx I'd say :+1: and I noticed the pronunciations have been improved for German :clap: :sunglasses:

    opened by fquirin 0
Owner
Rhasspy
Offline voice assistant
Rhasspy
GitHub Repository
Transformers-regression - Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates

Regression Free Model Update Code for the paper: Regression Bugs Are In Your Mod

Yuqing Xie 2 Feb 17, 2022
Data loaders and abstractions for text and NLP

torchtext This repository consists of: torchtext.data: Generic data loaders, abstractions, and iterators for text (including vocabulary and word vecto

3.2k Dec 30, 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 (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

19 Jun 30, 2022
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
HF's ML for Audio study group

Hugging Face Machine Learning for Audio Study Group Welcome to the ML for Audio Study Group. Through a series of presentations, paper reading and disc

Vaibhav Srivastav 110 Jan 01, 2023
Transformer training code for sequential tasks

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

Meta Research 578 Dec 13, 2022
Club chatbot

Chatbot Club chatbot Instructions to get the Chatterbot working Step 1. First make sure you are using a version of Python 3 or newer. To check your ve

5 Mar 07, 2022
Watson Natural Language Understanding and Knowledge Studio

Material de demonstração dos serviços: Watson Natural Language Understanding e Knowledge Studio Visão Geral: https://www.ibm.com/br-pt/cloud/watson-na

Vanderlei Munhoz 4 Oct 24, 2021
硕士期间自学的NLP子任务，供学习参考

NLP_Chinese_down_stream_task 自学的NLP子任务，供学习参考 任务1 ：短文本分类 (1).数据集：THUCNews中文文本数据集(10分类) (2).模型：BERT+FC/LSTM，Pytorch实现 (3).使用方法： 预训练模型使用的是中文BERT-WWM, 下载地

12 May 31, 2022
A Structured Self-attentive Sentence Embedding

Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR

Kaushal Shetty 488 Nov 28, 2022
Tool which allow you to detect and translate text.

Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr

Damian Panek 176 Nov 28, 2022
Weakly-supervised Text Classification Based on Keyword Graph

Weakly-supervised Text Classification Based on Keyword Graph How to run? Download data Our dataset follows previous works. For long texts, we follow C

Hello_World 20 Dec 29, 2022
VampiresVsWerewolves - Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

Shawn 1 Jan 21, 2022
Implementation of paper Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.

RoBERTaABSA This repo contains the code for NAACL 2021 paper titled Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoB

106 Nov 28, 2022
Few-shot Natural Language Generation for Task-Oriented Dialog

Few-shot Natural Language Generation for Task-Oriented Dialog This repository contains the dataset, source code and trained model for the following pa

172 Dec 13, 2022
text to speech toolkit. 好用的中文语音合成工具箱，包含语音编码器、语音合成器、声码器和可视化模块。

ttskit Text To Speech Toolkit: 语音合成工具箱。 安装 pip install -U ttskit 注意 可能需另外安装的依赖包：torch，版本要求torch=1.6.0,=1.7.1，根据自己的实际环境安装合适cuda或cpu版本的torch。 ttskit的

KDD 483 Jan 04, 2023
We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Voice Based Personal Assistant We have built a Voice based Personal Assistant for people to access files hands free in their device using natural lang

Rushabh 2 Nov 13, 2021
Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.

TRICE: a task-agnostic transferring framework for multi-source sequence generation This is the source code of our work Transfer Learning for Sequence

THUNLP-MT 9 Jun 27, 2022
VD-BERT: A Unified Vision and Dialog Transformer with BERT

VD-BERT: A Unified Vision and Dialog Transformer with BERT PyTorch Code for the following paper at EMNLP2020: Title: VD-BERT: A Unified Vision and Dia

Salesforce 44 Nov 01, 2022
Nystromformer: A Nystrom-based Algorithm for Approximating Self-Attention

Nystromformer: A Nystrom-based Algorithm for Approximating Self-Attention April 6, 2021 We extended segment-means to compute landmarks without requiri

Zhanpeng Zeng 322 Jan 01, 2023