Bark Integration for Speech Generation (Open Source) Bark by Suno AI is a generative TTS model based on the Transformer architecture (not traditional synthesis). It can generate laughter, sighs, singing, and emotional speech—things that traditional TTS can't do. Completely open-source (MIT). ### Features and Limitations Features: - Emotional speech via text prompts [laughs], [sighs], [gasps] - Singing: ♪ song lyrics ♪ - Non-linguistic sounds: cough, laugh, pause - 13 languages out of the box, including Russian - Voice style cloning via voice presets Disabled: - Streaming synthesis (batch only)

• Deterministic output (each query produces a different result) - Runs on CPU at acceptable speed (GPU required) ### Installation and basic usage```python from bark import SAMPLE_RATE, generate_audio, preload_models import soundfile as sf import numpy as np

preload_models() # Загружает ~6 GB моделей

text = """ Добро пожаловать! [laughs] Рад вас видеть. Ваш заказ готов. [clears throat] Подождите минуту. """

audio_array = generate_audio( text, history_prompt="v2/ru_speaker_3", # предустановленные голоса ) sf.write("output.wav", audio_array, SAMPLE_RATE) ### Requirements - GPU: minimum 8 GB VRAM (RTX 3070+) - RAM: 16 GB - Speed: ~30 seconds for 10 seconds of audio on RTX 3090 - Parameters: ~1.2 GB (text encoder) + ~1.5 GB (coarse + fine codec) ### Custom voice presetspython from bark.generation import codec_decode, generate_coarse, generate_fine, generate_text_semantic

Создание нового пресета из референсного аудио

Требует тонкой настройки через semantic tokens