🗣️ 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
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations

Transfer-Learning-in-Reinforcement-Learning Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations Final Report Tra

Trung Hieu Tran 4 Oct 17, 2022
An unsupervised learning framework for depth and ego-motion estimation from monocular videos

SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew

Tinghui Zhou 1.8k Dec 30, 2022
Attention for PyTorch with Linear Memory Footprint

Attention for PyTorch with Linear Memory Footprint Unofficially implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention (+

11 Jan 09, 2022
Neural Point-Based Graphics

Neural Point-Based Graphics Project   Video   Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3

Ali Aliev 252 Dec 13, 2022
SurfEmb (CVPR 2022) - SurfEmb: Dense and Continuous Correspondence Distributions

SurfEmb SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings Rasmus Laurvig Haugard, A

Rasmus Haugaard 56 Nov 19, 2022
Tensorflow implementation of Swin Transformer model.

Swin Transformer (Tensorflow) Tensorflow reimplementation of Swin Transformer model. Based on Official Pytorch implementation. Requirements tensorflow

167 Jan 08, 2023
This is an implementation of PIFuhd based on Pytorch

Open-PIFuhd This is a unofficial implementation of PIFuhd PIFuHD: Multi-Level Pixel-Aligned Implicit Function forHigh-Resolution 3D Human Digitization

Lingteng Qiu 235 Dec 19, 2022
Replication of Pix2Seq with Pretrained Model

Pretrained-Pix2Seq We provide the pre-trained model of Pix2Seq. This version contains new data augmentation. The model is trained for 300 epochs and c

peng gao 51 Nov 22, 2022
Materials for upcoming beginner-friendly PyTorch course (work in progress).

Learn PyTorch for Deep Learning (work in progress) I'd like to learn PyTorch. So I'm going to use this repo to: Add what I've learned. Teach others in

Daniel Bourke 2.3k Dec 29, 2022
Unofficial & improved implementation of NeRF--: Neural Radiance Fields Without Known Camera Parameters

[Unofficial code-base] NeRF--: Neural Radiance Fields Without Known Camera Parameters [ Project | Paper | Official code base ] ⬅️ Thanks the original

Jianfei Guo 239 Dec 22, 2022
This is the repository for The Machine Learning Workshops, published by AI DOJO

This is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.

AI Dojo 12 May 06, 2022
Source code of article "Towards Toxic and Narcotic Medication Detection with Rotated Object Detector"

Towards Toxic and Narcotic Medication Detection with Rotated Object Detector Introduction This is the source code of article: Towards Toxic and Narcot

Woody. Wang 3 Oct 29, 2022
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

BRNet Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds,

86 Oct 05, 2022
PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

Under construction... Attention in Attention Network for Image Super-Resolution (A2N) This repository is an PyTorch implementation of the paper "Atten

Haoyu Chen 71 Dec 30, 2022
The Official Repository for "Generalized OOD Detection: A Survey"

Generalized Out-of-Distribution Detection: A Survey 1. Overview This repository is with our survey paper: Title: Generalized Out-of-Distribution Detec

Jingkang Yang 338 Jan 03, 2023
An official implementation of "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation" (CVPR 2021) in PyTorch.

BANA This is the implementation of the paper "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation". For more inf

CV Lab @ Yonsei University 59 Dec 12, 2022
Data Consistency for Magnetic Resonance Imaging

Data Consistency for Magnetic Resonance Imaging Data Consistency (DC) is crucial for generalization in multi-modal MRI data and robustness in detectin

Dimitris Karkalousos 19 Dec 12, 2022
The aim of the game, as in the original one, is to find a specific image from a group of different images of a person's face

GUESS WHO Main Links: [Github] [App] Related Links: [CLIP] [Celeba] The aim of the game, as in the original one, is to find a specific image from a gr

Arnau - DIMAI 3 Jan 04, 2022
Library for converting from RGB / GrayScale image to base64 and back.

Library for converting RGB / Grayscale numpy images from to base64 and back. Installation pip install -U image_to_base_64 Conversion RGB to base 64 b

Vladimir Iglovikov 16 Aug 28, 2022
Simulated garment dataset for virtual try-on

Simulated garment dataset for virtual try-on This repository contains the dataset used in the following papers: Self-Supervised Collision Handling via

33 Dec 20, 2022