Tutorials for SpeechKit

• Developing a Telegram bot for text recognition in images, audio synthesis and recognition
• Using Yandex API Gateway to set up speech synthesis in Yandex SpeechKit

Speech recognitionSpeech recognition

Streaming recognitionStreaming recognition

• Audio file streaming recognition using the API v3: This example uses the Russian language, 8,000 Hz LPCM streaming audio from file, single audio channel. Profanity filter enabled in recognition settings.

• Microphone speech streaming recognition using the API v3: This example uses the Russian language, 8,000 Hz LPCM audio, single audio channel. Profanity filter enabled.

• Streaming speech recognition with auto language detection in the API v3: This example uses 8,000 Hz LPCM audio, single audio channel.

• Example use of streaming recognition with API v2: This example uses the Russian language, 8,000 Hz LPCM audio. Profanity and intermediate result filters enabled.

Synchronous recognitionSynchronous recognition

Example of using the API v1 for synchronous recognition: This example uses the Russian language, other parameters are at their defaults.

Asynchronous recognitionAsynchronous recognition

• Asynchronous recognition of LPCM audio files using the API v2: This example uses the Russian language, the general:rc language model, 8,000 Hz LPCM audio, single audio channel.

• Asynchronous recognition of OggOpus audio files using the API v2: This example uses the Russian language, other parameters are at their defaults.

• Asynchronous WAV audio file recognition using the API v3: This example uses the general language model and WAV audio format, other parameters are at their defaults.

• Regular asynchronous recognition of audio files from Yandex Object Storage: This example uses the Russian language and the general language model. Speech is recognized from audio files of any supported format.

SynthesisSynthesis

• Speech synthesis in the API v3: This example uses 22,050 Hz LPCM audio, WAV container, and LUFS loudness normalization.

• Pattern-based speech synthesis using the API v3: This example uses pattern-based synthesis for the SpeechKit Brand Voice Self Service and SpeechKit Brand Voice Premium voices.

• Pattern-based speech synthesis in SpeechKit Brand Voice Call Center: This example uses pattern-based synthesis for the SpeechKit Brand Voice Call Center voices.

• Speech synthesis in WAV format using the API v1: This example uses the Russian language, 48,000 Hz LPCM audio, WAV container, and the filipp voice.

• Speech synthesis in OggOpus format using the API v1: This example uses the Russian language and the filipp voice.

• Speech synthesis from SSML text using API v1: This example uses the Russian language and the jane voice.