Expressive TTS Emotional Speech Implementation

Implementation of emotional speech synthesis (Expressive TTS) Emotional TTS conveys not only words but also intonation: joy, empathy, seriousness. This is critical for voice bots, where a neutral, robotic voice reduces customer satisfaction. ### Approaches to emotional TTS Azure Neural TTS with styles is the most mature solution:

import azure.cognitiveservices.speech as speechsdk

AZURE_STYLES = {
    "cheerful": "радостный",
    "sad": "грустный",
    "angry": "раздражённый",
    "fearful": "напуганный",
    "disgruntled": "недовольный",
    "serious": "серьёзный",
    "depressed": "подавленный",
    "gentle": "мягкий",
    "embarrassed": "смущённый",
    "customerservice": "клиентский сервис"
}

def synthesize_with_emotion(text: str, style: str = "customerservice") -> bytes:
    ssml = f"""
    <speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis'
           xmlns:mstts='https://www.w3.org/2001/mstts' xml:lang='ru-RU'>
      <voice name='ru-RU-SvetlanaNeural'>
        <mstts:express-as style='{style}' styledegree='1.5'>
          {text}
        </mstts:express-as>
      </voice>
    </speak>"""

    speech_config = speechsdk.SpeechConfig(
        subscription=AZURE_SPEECH_KEY,
        region="westeurope"
    )
    synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config)
    result = synthesizer.speak_ssml_async(ssml).get()
    return result.audio_data
```**ElevenLabs with Voice Settings** - control via stability/similarity:```python
# Высокая экспрессивность: низкая stability, высокий style
emotional_settings = {
    "stability": 0.3,       # нестабильность = вариативность интонации
    "similarity_boost": 0.5,
    "style": 0.8,           # высокий стиль = больше эмоций
    "use_speaker_boost": True
}
```**Bark with text markers**:```python
emotional_text = "Поздравляем! [laughs] Ваш заказ принят! [gasps] Это невероятно!"
audio = generate_audio(emotional_text, history_prompt="v2/ru_speaker_6")
```### Emotional routing in dialogue```python
def choose_tts_style(message_context: dict) -> str:
    if message_context.get("is_apology"):
        return "gentle"
    elif message_context.get("is_celebration"):
        return "cheerful"
    elif message_context.get("is_urgent"):
        return "serious"
    return "customerservice"
```Timeline: Azure integration with Styles – 2–3 days. Custom emotional routing – 1 week.