文本转语音 (TTS)

curl http://localhost:8085/audio-analytics/v1/api/tts/models

curl -X POST http://localhost:8085/audio-analytics/v1/api/tts/synthesize \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, how are you today?",
    "model": "melo-tts-en",
    "language": "en",
    "voice": "default",
    "sample_rate": 44100
  }' \
  --output speech.pcm

curl -X POST http://localhost:8085/audio-analytics/v1/api/tts/synthesize \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, this is a speech rate test.",
    "model": "melo-tts-en",
    "language": "en",
    "sample_rate": 44100,
    "parameters": {"speaking_rate": "1.5"}
  }' \
  --output speech.pcm

curl -X POST http://localhost:8085/audio-analytics/v1/api/tts/cancel

curl -X POST http://localhost:8085/audio-analytics/v1/api/tts/close

import requests

def synthesize(text, model="melo-tts-en", language="en", sample_rate=44100):
    url = "http://localhost:8085/audio-analytics/v1/api/tts/synthesize"
    response = requests.post(url, json={
        "text": text,
        "model": model,
        "language": language,
        "sample_rate": sample_rate
    }, timeout=30)
    response.raise_for_status()
    with open("speech.pcm", "wb") as f:
        f.write(response.content)
    print(f"Saved {len(response.content)} bytes to speech.pcm")

synthesize("Hello, how are you today?")