๐Ÿ—ฃ๏ธ 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: ๅƒ่‘ก่„ไธๅ่‘ก่„็šฎ๏ผŒไธๅƒ่‘ก่„ๅ€’ๅ่‘ก่„็šฎ
  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": "ๆฌข่ฟŽๅ›žๅฎถ", "language": "zh-CN-XiaoxuanNeural", "cache": false, "options": {"style": "cheerful", "role": "Boy"}}' \
     http://home-assistant.local:8123/api/tts_get_url

Thanks

Owner
GitHub Repository
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.

[SIGGRAPH Asia 2021] Time-Travel Rephotography [Project Website] Many historical people were only ever captured by old, faded, black and white photos,

298 Jan 02, 2023
A naive ROS interface for visualDet3D.

YOLO3D ROS Node This repo contains a Monocular 3D detection Ros node. Base on https://github.com/Owen-Liuyuxuan/visualDet3D All parameters are exposed

Yuxuan Liu 19 Oct 08, 2022
Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN"

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

68 Dec 21, 2022
Train SN-GAN with AdaBelief

SNGAN-AdaBelief Train a state-of-the-art spectral normalization GAN with AdaBelief https://github.com/juntang-zhuang/Adabelief-Optimizer Acknowledgeme

Juntang Zhuang 10 Jun 11, 2022
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo

Hao Luo 116 Jan 04, 2023
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Machine Learning From Scratch About Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose

Erik Linder-Norรฉn 21.8k Jan 09, 2023
Churn-Prediction-Project - In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class.

Churn-Prediction-Project In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class. Project in

1 Jan 03, 2022
This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

CGPN This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels]. Req

10 Sep 12, 2022
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer

CycleTransGAN-EVC CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer Demo emotion CycleTransGAN CycleTransGAN Cycle

24 Dec 15, 2022
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

ALFRED A Benchmark for Interpreting Grounded Instructions for Everyday Tasks Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han,

ALFRED 204 Dec 15, 2022
WSDMโ€˜2022: Knowledge Enhanced Sports Game Summarization

Knowledge Enhanced Sports Game Summarization Cooming Soon! :) Data will be released after approval process. Code will be published once the author of

Jiaan Wang 14 Jul 13, 2022
Pytorch implementation of the paper Time-series Generative Adversarial Networks

TimeGAN-pytorch Pytorch implementation of the paper Time-series Generative Adversarial Networks presented at NeurIPS'19. Jinsung Yoon, Daniel Jarrett

Zhiwei ZHANG 21 Nov 24, 2022
load .txt to train YOLOX, same as Yolo others

YOLOX train your data you need generate data.txt like follow format (per line- one image). prepare one data.txt like this: img_path1 x1,y1,x2,y2,clas

LiMingf 18 Aug 18, 2022
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

Big Vision This codebase is designed for training large-scale vision models on Cloud TPU VMs. It is based on Jax/Flax libraries, and uses tf.data and

Google Research 701 Jan 03, 2023
Using VapourSynth with super resolution models and speeding them up with TensorRT.

VSGAN-tensorrt-docker Using image super resolution models with vapoursynth and speeding them up with TensorRT. Using NVIDIA/Torch-TensorRT combined wi

111 Jan 05, 2023
OOD Generalization and Detection (ACL 2020)

Pretrained Transformers Improve Out-of-Distribution Robustness How does pretraining affect out-of-distribution robustness? We create an OOD benchmark

littleRound 57 Jan 09, 2023
NHL 94 AI contests

nhl94-ai The end goals of this project is to: Train Models that play NHL 94 Support AI vs AI contests in NHL 94 Provide an improved AI opponent for NH

Mathieu Poliquin 2 Dec 06, 2021
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

ycj_project 1 Jan 18, 2022
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

Neuraxio 555 Dec 24, 2022
Geneva is an artificial intelligence tool that defeats censorship by exploiting bugs in censors

Geneva is an artificial intelligence tool that defeats censorship by exploiting bugs in censors

Kevin Bock 1.5k Jan 06, 2023