Yandex SpeechKit TTS Integration for Speech Synthesis

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Yandex SpeechKit TTS Integration for Speech Synthesis
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Yandex Speech

Kit TTS integration for speech synthesis. Yandex SpeechKit TTS is the best choice for Russian-language products: natural pronunciation, correct stress, and an understanding of Russian realities. Voices: Alena, Filipp, Jane, Omazh, Zahar, and others. Infrastructure in the Russian Federation. ### Synthesis via REST API```python import requests

def synthesize(text: str, voice: str = "alena", speed: float = 1.0) -> bytes: """Синтез через Yandex SpeechKit""" response = requests.post( "https://tts.api.cloud.yandex.net/speech/v1/tts:synthesize", headers={"Authorization": f"Api-Key {YANDEX_API_KEY}"}, data={ "text": text, "lang": "ru-RU", "voice": voice, "speed": str(speed), "format": "oggopus", # oggopus | lpcm | mp3 "sampleRateHertz": "48000", "folderId": YANDEX_FOLDER_ID, } ) response.raise_for_status() return response.content

Доступные голоса

VOICES = { "female": ["alena", "jane", "omazh", "oksana"], "male": ["filipp", "zahar", "ermil"], "premium": ["alena:premium", "filipp:premium"] # наилучшее качество } ### Speech control optionspython data = { "text": text, "speed": "0.8", # 0.1–3.0 (норма = 1.0) "emotion": "good", # good | evil | neutral (зависит от голоса) "voice": "alena", "format": "lpcm", # для телефонии "sampleRateHertz": "8000", # 8000 | 16000 | 48000 } ### SSML support (v3 API)python

REST v3 для SSML и расширенного управления

headers = { "Authorization": f"Bearer {IAM_TOKEN}", "x-folder-id": FOLDER_ID } body = { "utteranceSynthesisRequest": { "text": "Привет! Как дела?", "outputAudioSpec": {"containerAudio": {"containerAudioType": "OGG_OPUS"}}, "loudnessNormalizationType": "LUFS" } }