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
Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.

Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized

texttron 193 Jan 04, 2023
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

pySBD: Python Sentence Boundary Disambiguation (SBD) pySBD - python Sentence Boundary Disambiguation (SBD) - is a rule-based sentence boundary detecti

Nipun Sadvilkar 549 Jan 06, 2023
A Python package implementing a new model for text classification with visualization tools for Explainable AI :octocat:

A Python package implementing a new model for text classification with visualization tools for Explainable AI 🍣 Online live demos: http://tworld.io/s

Sergio Burdisso 285 Jan 02, 2023
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.

Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da

Jeff Johannsen 3 Nov 27, 2022
Super easy library for BERT based NLP models

Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor

Utterworks 1.8k Dec 27, 2022
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.

Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.

2 Jan 20, 2022
2021 2학기 데이터크롤링 기말프로젝트

공지 주제 웹 크롤링을 이용한 취업 공고 스케줄러 스케줄 주제 정하기 코딩하기 핵심 코드 설명 + 피피티 구조 구상 // 12/4 토 피피티 + 스크립트(대본) 제작 + 녹화 // ~ 12/10 ~ 12/11 금~토 영상 편집 // ~12/11 토 웹크롤러 사람인_평균

Choi Eun Jeong 2 Aug 16, 2022
Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe

Dat Quoc Nguyen 152 Sep 02, 2022
📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation

Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &

Bardia Shahrestani 2 May 26, 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
Visual Automata is a Python 3 library built as a wrapper for Caleb Evans' Automata library to add more visualization features.

Visual Automata Copyright 2021 Lewi Lie Uberg Released under the MIT license Visual Automata is a Python 3 library built as a wrapper for Caleb Evans'

Lewi Uberg 55 Nov 17, 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
Subtitle Workshop (subshop): tools to download and synchronize subtitles

SUBSHOP Tools to download, remove ads, and synchronize subtitles. SUBSHOP Purpose Limitations Required Web Credentials Installation, Configuration, an

Joe D 4 Feb 13, 2022
Write Alphabet, Words and Sentences with your eyes.

The-Next-Gen-AI-Eye-Writer The Eye tracking Technique has become one of the most popular techniques within the human and computer interaction era, thi

Rohan Kasabe 2 Apr 05, 2022
Tool to check whether a GCP bucket is public or not.

Tool to check publicly accessible GCP bucket. Blog https://justm0rph3u5.medium.com/gcp-inspector-auditing-publicly-exposed-gcp-bucket-ac6cad55618c Wha

DIVYANSHU SHUKLA 7 Nov 24, 2022
Need: Image Search With Python

Need: Image Search The problem is that a user needs to search for a specific ima

Surya Komandooru 1 Dec 30, 2021
Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

Negative Sampling for NER Unlabeled entity problem is prevalent in many NER scenarios (e.g., weakly supervised NER). Our paper in ICLR-2021 proposes u

Yangming Li 128 Dec 29, 2022
Bu Chatbot, Konya Bilim Merkezi Yen için tasarlanmış olan bir projedir.

chatbot Bu Chatbot, Konya Bilim Merkezi Yeni Ufuklar Sergisi için 2021 Yılında tasarlanmış olan bir projedir. Chatbot Python ortamında yazılmıştır. Sö

Emre Özkul 1 Feb 23, 2022
Phomber is infomation grathering tool that reverse search phone numbers and get their details, written in python3.

A Infomation Grathering tool that reverse search phone numbers and get their details ! What is phomber? Phomber is one of the best tools available fo

S41R4J 121 Dec 27, 2022
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

VizSeq is a Python toolkit for visual analysis on text generation tasks like machine translation, summarization, image captioning, speech translation

Facebook Research 409 Oct 28, 2022