🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

Related tags

Deep Learningttshome-assistantcustom-component
Overview

Microsoft Edge TTS for Home Assistant

This component is based on the TTS service of Microsoft Edge browser, no need to apply for app_key.

Install

Download and copy custom_components/edge_tts folder to custom_components folder in your HomeAssistant config folder

# Auto install via terminal shell
wget -q -O - https://cdn.jsdelivr.net/gh/al-one/hass-xiaomi-miot/install.sh | DOMAIN=edge_tts REPO_PATH=hasscc/hass-edge-tts ARCHIVE_TAG=main bash -

Config

# configuration.yaml
tts:
  - platform: edge_tts
    language: zh-CN # Default language or voice (Optional)

Configure default options:

tts:
  - platform: edge_tts
    service_name: xiaomo_say
    language: zh-CN-XiaomoNeural
    style: cheerful
    styledegree: 2
    role: Girl
    volume: 100.0

Supported languages

Using

Options

  • voice
  • style
  • styledegree: 0.01 - 2, only for zh-CN
  • role: only for zh-CN-XiaomoNeural / zh-CN-XiaoxuanNeural
    • Girl
    • Boy
    • YoungAdultFemale
    • YoungAdultMale
    • OlderAdultFemale
    • OlderAdultMale
    • SeniorFemale
    • SeniorMale
  • pitch / rate / volume / contour

Basic example

service: tts.edge_tts_say
data:
  entity_id: media_player.your_player_entity_id
  message: Hello
  language: zh-CN-XiaoxiaoNeural # Language or voice (Optional)

Full example

service: tts.edge_tts_say
data:
  entity_id: media_player.your_player_entity_id
  message: 吃葡萄不吐葡萄皮，不吃葡萄倒吐葡萄皮
  language: zh-CN
  cache: true
  options:
    voice: zh-CN-XiaomoNeural
    style: cheerful
    styledegree: 2
    role: Girl
    pitch: +0Hz
    rate: +0%
    volume: +10%
    contour: (60%,-60%) (100%,+80%)

Curl example

curl -X POST -H "Authorization: Bearer <ACCESS TOKEN>" \
     -H "Content-Type: application/json" \
     -d '{"platform": "edge_tts", "message": "欢迎回家", "language": "zh-CN-XiaoxuanNeural", "cache": false, "options": {"style": "cheerful", "role": "Boy"}}' \
     http://home-assistant.local:8123/api/tts_get_url

Thanks

Owner
GitHub Repository
PyTorch implementation of the implicit Q-learning algorithm (IQL)

Implicit-Q-Learning (IQL) PyTorch implementation of the implicit Q-learning algorithm IQL (Paper) Currently only implemented for online learning. Offl

Sebastian Dittert 27 Dec 30, 2022
Fermi Problems: A New Reasoning Challenge for AI

Fermi Problems: A New Reasoning Challenge for AI Fermi Problems are questions whose answer is a number that can only be reasonably estimated as a prec

AI2 15 May 28, 2022
Cross-Document Coreference Resolution

Cross-Document Coreference Resolution This repository contains code and models for end-to-end cross-document coreference resolution, as decribed in ou

Arie Cattan 29 Nov 28, 2022
Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

Fatiando a Terra Datasets 1 Jan 21, 2022
Easy to use Python camera interface for NVIDIA Jetson

JetCam JetCam is an easy to use Python camera interface for NVIDIA Jetson. Works with various USB and CSI cameras using Jetson's Accelerated GStreamer

NVIDIA AI IOT 358 Jan 02, 2023
UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac protocols on unmanned aerial vehicle networks.

UAV-Networks Simulator - Autonomous Networking - A.A. 20/21 UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac pr

0 Nov 13, 2021
Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes'

Dual Parameterization of Sparse Variational Gaussian Processes Documentation | Notebooks | API reference Introduction This repository is the official

AaltoML 7 Dec 23, 2022
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

DatasetGAN This is the official code and data release for: DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang*, Huan Li

302 Jan 05, 2023
End-to-end beat and downbeat tracking in the time domain.

WaveBeat End-to-end beat and downbeat tracking in the time domain. | Paper | Code | Video | Slides | Setup First clone the repo. git clone https://git

Christian J. Steinmetz 60 Dec 24, 2022
Continual World is a benchmark for continual reinforcement learning

Continual World Continual World is a benchmark for continual reinforcement learning. It contains realistic robotic tasks which come from MetaWorld. Th

41 Dec 24, 2022
Understanding Convolution for Semantic Segmentation

TuSimple-DUC by Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, and Garrison Cottrell. Introduction This repository is for Under

TuSimple 585 Dec 31, 2022
Project of 'TBEFN: A Two-branch Exposure-fusion Network for Low-light Image Enhancement '

TBEFN: A Two-branch Exposure-fusion Network for Low-light Image Enhancement Codes for TMM20 paper "TBEFN: A Two-branch Exposure-fusion Network for Low

KUN LU 31 Nov 06, 2022
The BCNet related data and inference model.

BCNet This repository includes the some source code and related dataset of paper BCNet: Learning Body and Cloth Shape from A Single Image, ECCV 2020,

81 Dec 12, 2022
PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.

VoiceLoop PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a n

Meta Archive 873 Dec 15, 2022
RADIal is available now! Check the download section

Latest news: RADIal is available now! Check the download section. However, because we are currently working on the data anonymization, we provide for

valeo.ai 55 Jan 03, 2023
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Soubhik Sanyal 689 Dec 25, 2022
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-pose-baseline This is the code for the paper Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3

Julieta Martinez 1.3k Jan 03, 2023
Learning to Draw: Emergent Communication through Sketching

Learning to Draw: Emergent Communication through Sketching This is the official code for the paper "Learning to Draw: Emergent Communication through S

19 Jul 22, 2022
Denoising Normalizing Flow

Denoising Normalizing Flow Christian Horvat and Jean-Pascal Pfister 2021 We combine Normalizing Flows (NFs) and Denoising Auto Encoder (DAE) by introd

CHrvt 17 Oct 15, 2022
Language models are open knowledge graphs ( non official implementation )

language-models-are-knowledge-graphs-pytorch Language models are open knowledge graphs ( work in progress ) A non official reimplementation of Languag

theblackcat102 132 Dec 18, 2022