🗣️ 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
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.

.NET Interactive Notebooks for C# Welcome to the home of .NET interactive notebooks for C#! How to Install Download the .NET Coding Pack for VS Code f

.NET Platform 425 Dec 25, 2022
Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

GNet-pose Project Page: http://guanghan.info/projects/guided-fractal/ UPDATE 9/27/2018: Prototxts and model that achieved 93.9Pck on LSP dataset. http

Guanghan Ning 83 Nov 21, 2022
ChainerRL is a deep reinforcement learning library built on top of Chainer.

ChainerRL and PFRL ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement al

Chainer 1.1k Jan 01, 2023
The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"

P2PNet (ICCV2021 Oral Presentation) This repository contains codes for the official implementation in PyTorch of P2PNet as described in Rethinking Cou

Tencent YouTu Research 208 Dec 26, 2022
Retinal vessel segmentation based on GT-UNet

Retinal vessel segmentation based on GT-UNet Introduction This project is a retinal blood vessel segmentation code based on UNet-like Group Transforme

Kent0n 27 Dec 18, 2022
Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

Bridging Multi-Task Learning and Meta-Learning Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Trainin

AI Secure 57 Dec 15, 2022
An Active Automata Learning Library Written in Python

AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto

TU Graz - SAL Dependable Embedded Systems Lab (DES Lab) 78 Dec 30, 2022
Official Repository for the paper "Improving Baselines in the Wild".

iWildCam and FMoW baselines (WILDS) This repository was originally forked from the official repository of WILDS datasets (commit 7e103ed) For general

Kazuki Irie 3 Nov 24, 2022
PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

PyTorch Large-Scale Language Model A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset Latest Results 39.98 Perp

Ryan Spring 114 Nov 04, 2022
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Hierarchical Attention Networks for Document Classification This is an implementation of the paper Hierarchical Attention Networks for Document Classi

Quoc-Tuan Truong 83 Dec 05, 2022
Pytorch implementation of PCT: Point Cloud Transformer

PCT: Point Cloud Transformer This is a Pytorch implementation of PCT: Point Cloud Transformer.

Yi_Zhang 265 Dec 22, 2022
ConformalLayers: A non-linear sequential neural network with associative layers

ConformalLayers: A non-linear sequential neural network with associative layers ConformalLayers is a conformal embedding of sequential layers of Convo

Prograf-UFF 5 Sep 28, 2022
Official implementation of the paper Label-Efficient Semantic Segmentation with Diffusion Models

Label-Efficient Semantic Segmentation with Diffusion Models Official implementation of the paper Label-Efficient Semantic Segmentation with Diffusion

Yandex Research 355 Jan 06, 2023
This reposityory contains the PyTorch implementation of our paper "Generative Dynamic Patch Attack".

Generative Dynamic Patch Attack This reposityory contains the PyTorch implementation of our paper "Generative Dynamic Patch Attack". Requirements PyTo

Xiang Li 8 Nov 17, 2022
The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation

BiMix The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation arxiv Framework: visualization results: Requiremen

stanley 18 Sep 18, 2022
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

11 Nov 23, 2022
Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

GSAN Introduction Code for paper GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving, wh

YE Luyao 6 Oct 27, 2022
Pytorch code for our paper Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains)

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Alibaba-AAIG 37 Nov 23, 2022
Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) Prerequisite PyTorch = 1.2.0 P

16 Dec 14, 2022
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.

Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels

Jennefer Maldonado 1 Dec 28, 2021