Custom Voice Implementation for a Brand A custom voice is a unique sound that is associated with a specific brand. Banks, telecom operators, and large retailers invest in their own voices for differentiation and recognition. ### Brand Voice Creation Options Azure Custom Neural Voice is the most affordable path to a professional result: - Recording 2,000–3,000 phrases by a speaker (~8–10 hours) - Upload to Azure Custom Neural Voice Studio - Training: 20–30 hours of computing - Result: a fully custom Neural voice **Eleven

Labs Voice Cloning Professional**: - Requires a Professional plan ($99/month) - 30–60 minutes of speaker recordings

• Fine-tuning for a specific voice - MOS (Mean Opinion Score) 4.0–4.4 out of 5 Self-hosted XTTS fine-tuning: - 30–60 minutes of audio with transcriptions - XTTS v2 retraining on its own GPU - Full data control ### Voice talent recording requirements``` Технические требования:
• Частота: 24 kHz минимум, 48 kHz рекомендуется
• Формат: WAV, 16-bit
• Тихая студия: SNR > 40 дБ
• Без реверберации

Для Azure Custom Neural Voice:

• 2 000+ высказываний (по 5–15 слов каждое)
• Равномерное распределение фонем
• Одинаковые условия записи всех сессий ### Azure Custom Neural Voice (Lite) via Portalpython import requests

После обучения модели получаем endpoint_id

endpoint_id = "your-custom-voice-endpoint-id"

def synthesize_brand_voice(text: str) -> bytes: ssml = f""" {text} """

# Синтез через Azure SDK
speech_config = speechsdk.SpeechConfig(
    subscription=AZURE_KEY, region="westeurope"
)
speech_config.endpoint_id = endpoint_id
...