speechkit 2.2.2
pip install speechkit Copy PIP instructions
Released: Apr 8, 2023
Python SDK for Yandex Speechkit API.
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- License: MIT License
- Author: Tikhon Petrishchev
- Requires: Python >=3.6
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- 5 - Production/Stable
- OSI Approved :: MIT License
- OS Independent
- Python :: 3
- Python :: 3.6
- Python :: 3.7
- Python :: 3.8
- Python :: 3.9
- Python :: 3.10
Project description
🎙 yandex speechkit python sdk.
Python SDK for Yandex SpeechKit API. This SDK allows you to use the cloud API for speech recognition and synthesis from Yandex.
For more information please visit Yandex Speechkit API Docs . This lib supports short and long audio recognition with speechkit
🛠 Getting Started
Assuming that you have Python and virtualenv installed, set up your environment and install the required dependencies like this, or you can install the library using pip :
📑 Speechkit documentation
Check out speechkit docs for more info. PDF docs
🔮 Using speechkit
There are support of recognizing long and short audio and synthesis. For more information please read docs below.
First you need create session for authorisation:
Use created session to make other requests.
There are also functions for getting credentials (read Documentation for more info): Speechkit.auth.generate_jwt , speechkit.auth.get_iam_token , speechkit.auth.get_api_key
For audio recognition
Short audio:
Look at example with long audio long_audio_recognition.py .
Look at example with streaming audio streaming_recognize.py
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- português (Brasil)
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Yandex SpeechKit technology lightens the load on call center operators, accelerates telemarketing campaigns, and raises conversion rates. Their effectiveness soars with the new SpeechKit Brand Voice Adaptive feature. Create your unique voice assistant to tackle up to 80% of your customer requests. Our technology helps you create a knowledgeable ...
Written by. Yandex Cloud. Updated at August 29, 2024. Yandex SpeechKit voice technologies help handle any task related to human speech. SpeechKit can recognize speech in real time and using pre-recorded audio files, automatically detecting the speaker's language. It can also vocalize pattern phrases and long texts using SpeechKit standard voices.
Озвучка текста, синтез и распознавание речи онлайн на нескольких языках. SpeechKit — речевые технологии голосового помощника Алиса, адаптированные для использования в ваших бизнес-решениях.
Alice's voice recognition and synthesis rely on SpeechKit, Yandex's proprietary speech recognition toolkit. Currently, Alice integrates Yandex services, such as Search, News, Weather, Music, and Maps. This list will expand to other Yandex services, such as Taxi, as well as third-party products and services.
Yandex's automatic speech recognition has been critical to making our virtual assistant, Alice, the most popular spoken voice assistant in Russia. Built on end-to-end neural networks and enhanced with spectral augmentation techniques, our ASR stack has been developed to provide a reliable and user-friendly speech interface for our users. ...
Alice leverages speech recognition and synthesis capabilities of SpeechKit, Yandex's world-class toolkit that is used across many of our products, from Navigator to Music. Speech recognition is especially challenging for the Russian language due to its grammatical and morphological complexities.
Python SDK for Yandex SpeechKit API. This SDK allows you to use the cloud API for speech recognition and synthesis from Yandex. For more information please visit Yandex Speechkit API Docs. This lib supports short and long audio recognition with speechkit.
Yandex SpeechKit Text to Speech API performs text to speech conversion supporting the following main features. Natural-sounding Speech. Yandex SpeechKit composes speech from more than a million individual phonemes, with intonation set by a neural network trained on numerous real-life examples.
speechkit package . speechkit Python SDK for using Yandex Speech recognition and synthesis. class speechkit. DataStreamingRecognition (session, language_code = None, model = None, profanity_filter = None, partial_results = None, single_utterance = None, audio_encoding = None, sample_rate_hertz = None, raw_results = None) [source] . Bases: object Data streaming mode allows you to simultaneously ...
Yandex SpeechKit enables app developers to use speech recognition (Speech-to-Text) and speech synthesis (Text-to-Speech) technologies. SpeechKit is accessible via the API. Yandex Cloud infrastructure is fully secure and in compliance with Russian Federal Law 152-FZ. The service is subject to the Service Level Agreement.
Speech is an important data modality and relatives to applications such as speech recognition and speech synthesis, which are core technologies in products such as vocal assistants. Yandex Yandex Research
Our work on these technologies for the AI-based conversational assistant Alice helped us to quickly implement them for video translation in Yandex Browser. Step 1. Speech recognition and text pre-processing. After the user clicks Enable, the video processing begins. Our input is a video with some voiceovers.
Python SDK for Yandex SpeechKit API. This SDK allows you to use the cloud API for speech recognition and synthesis from Yandex. For more information please visit Yandex Speechkit API Docs.This lib supports short and long audio recognition with speechkit
Yandex is a technology company that builds intelligent products and services powered by machine learning. Our goal is to help consumers and businesses better navigate the online and offline world. Since 1997, we have delivered world-class, locally relevant search and information services. Additionally, we have developed market-leading on-demand transportation services, navigation products, and ...
Speech synthesis in Yandex SpeechKit allows you to convert any text to speech in multiple languages. SpeechKit voice models use deep neural network technology. When synthesizing speech, the model pays attention to many details in the original voice. The model evaluates the entire text, not individual sentences, before starting the synthesis.
Yandex, Russia's largest tech company, has developed a skill for its voice assistant, Alice, that helps children with speech disorders practice their pronunciation. ... Speech pathologists provided their expertise to design songs for practicing different sounds, ensuring songs don't mix difficult sounds that would be overly challenging for ...
Text to speech. Generation of speech using Yandex SpeechKit. SpeechKit Cloud allows you to voice any text in Russian, English, Turkish, or Ukrainian. You can choose the voice (male or female), tempo and intonation (e.g., joy). >>> from yandex_speech import TTS >>> tts = TTS ( "jane", "mp3", "60589d42-0e42-b742-8942-thekeyisalie" )
SpeechKit API. You can use the SpeechKit API for speech recognition and synthesis. For API use cases, see our tutorials. The SpeechKit API is based on the gRPC mechanism. API methods and data structures are described using Protocol Buffers (proto 3). The SpeechKit API does not support a resource-based approach, since it does not use Yandex ...
To associate your repository with the yandex-speech-kit topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
List of voices. This section provides a list of voices available in the service and their characteristics: Main language the voice supports. This is the language used by the speaker when creating this voice. Voice gender: male or female. Available voice roles. Supported API version.
node.js module for Yandex speech systems (ASR & TTS) - antirek/yandex-speech