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
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.

T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep

Jeong Ukjae 13 Dec 13, 2022
Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

Snips 3.7k Dec 30, 2022
PUA Programming Language written in Python.

pua-lang PUA Programming Language written in Python. Installation git clone https://github.com/zhaoyang97/pua-lang.git cd pua-lang pip install . Try

zy 4 Feb 19, 2022
State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Trapper (Transformers wRAPPER) Trapper is an NLP library that aims to make it easier to train transformer based models on downstream tasks. It wraps h

Open Business Software Solutions 42 Sep 21, 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
This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

XL-Sum This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Lang

189 Jan 02, 2023
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. Proceedings of EMNLP 2021

AAGCN-ACSA EMNLP 2021 Introduction This repository was used in our paper: Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment An

Akuchi 36 Dec 18, 2022
An implementation of the Pay Attention when Required transformer

Pay Attention when Required (PAR) Transformer-XL An implementation of the Pay Attention when Required transformer from the paper: https://arxiv.org/pd

7 Aug 11, 2022
Rhyme with AI

Local development Create a conda virtual environment and activate it: conda env create --file environment.yml conda activate rhyme-with-ai Install the

GoDataDriven 28 Nov 21, 2022
Textlesslib - Library for Textless Spoken Language Processing

textlesslib Textless NLP is an active area of research that aims to extend NLP t

Meta Research 379 Dec 27, 2022
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings

Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS

Vo Van Phuc 18 Nov 25, 2022
this repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain

1 Nov 02, 2021
A PyTorch-based model pruning toolkit for pre-trained language models

English | 中文说明 TextPruner是一个为预训练语言模型设计的模型裁剪工具包，通过轻量、快速的裁剪方法对模型进行结构化剪枝，从而实现压缩模型体积、提升模型速度。 其他相关资源： 知识蒸馏工具TextBrewer：https://github.com/airaria/TextBrewe

Ziqing Yang 231 Jan 08, 2023
Official code for Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

Official code for our Interspeech 2021 - Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset [1]*. Visually-grounded spoken language datasets c

Ian Palmer 3 Jan 26, 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
NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles

NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles NewsMTSC is a dataset for target-dependent sentiment classification (TSC)

Felix Hamborg 79 Dec 30, 2022
Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP 2020)

This repository contains the resources in our paper "Revisiting Pre-trained Models for Chinese Natural Language Processing", which will be published i

Yiming Cui 463 Dec 30, 2022
PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

760 Jan 03, 2023
Source code for CsiNet and CRNet using Fully Connected Layer-Shared feedback architecture.

FCS-applications Source code for CsiNet and CRNet using the Fully Connected Layer-Shared feedback architecture. Introduction This repository contains

Boyuan Zhang 4 Oct 07, 2022
Machine Psychology: Python Generated Art

Machine Psychology: Python Generated Art A limited collection of 64 algorithmically generated artwork. Each unique piece is then given a title by the

Pixegami Team 67 Dec 13, 2022