Natural TTS Alternatives

2025-06-024 turns9,613 charsgpt-4o

text-to-speech natural-language-processing python

Summary

User sought natural-sounding TTS alternatives to gTTS, exploring edge_tts for improved audio quality in Python.

Messages

I want to use a tts that is more natural sounding: from gtts import gTTS
import os
import logging

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

def generate_audio(text: str, output_filename: str = "broadcast_audio.mp3"):
    """
    Generates speech audio from text using gTTS and saves it to a file.
    """
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    logging.info(f"Attempting to generate audio for text (first 50 chars): '{text[:50]}...'")
    logging.info(f"Output path: {output_path}")

    try:
        logging.info("Initializing gTTS object.")
        tts = gTTS(text=text, lang='en', slow=False)
        logging.info(f"gTTS object created. Attempting to save to {output_path}")
        tts.save(output_path)
        logging.info("gTTS save operation completed.")
        
        # Verify file size
        if os.path.exists(output_path):
            file_size = os.path.getsize(output_path)
            if file_size > 0:
                logging.info(f"Audio generated successfully. File size: {file_size} bytes.")
                return output_path
            else:
                logging.error(f"Generated audio file is empty: {output_path}")
                raise Exception("Generated audio file is empty.")
        else:
            logging.error(f"Audio file was not created at: {output_path}")
            raise Exception("Audio file was not created.")
            
    except Exception as e:
        logging.error(f"Error generating audio with gTTS: {e}", exc_info=True)
        raise

if __name__ == "__main__":
    # Example usage
    sample_text = "This is a test broadcast. The news of the day is very important."
    try:
        generated_file = generate_audio(sample_text)
        print(f"Audio generated and saved to: {generated_file}")
    except Exception as e:
        print(f"Failed to generate audio in example: {e}")

If you’re looking for a **more natural-sounding** Text-to-Speech (TTS) engine than `gTTS`, which uses Google's basic web-based TTS, you have several great **open-source and offline** options — and many of them sound dramatically better.

Here are **three options** you can consider to replace or improve `gTTS`:

---

### ✅ 1. **TTS by Coqui (offline + realistic voices)**
Coqui TTS is one of the most advanced open-source TTS libraries with **natural-sounding voices**, multilingual support, and the ability to run **locally without API calls**.

#### Install:
```bash
pip install TTS
```

#### Example Code:
```python
from TTS.api import TTS

def generate_audio_coqui(text, output_filename="broadcast_audio.wav"):
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    # You can list available models with: TTS.list_models()
    tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False)
    tts.tts_to_file(text=text, file_path=output_path)
    return output_path
```

---

### ✅ 2. **Edge TTS (Microsoft's neural voices)**
If you’re okay with calling an **online service** but want a **significant jump in voice realism**, `edge-tts` taps into **Microsoft’s Azure neural voices** without needing an API key.

#### Install:
```bash
pip install edge-tts
```

#### Example Code:
```python
import edge_tts
import asyncio

async def generate_audio_edge(text, output_filename="broadcast_audio.mp3"):
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    communicate = edge_tts.Communicate(text, voice="en-US-JennyNeural")
    await communicate.save(output_path)
    return output_path

# Wrapper to run the async function
def generate_audio(text):
    return asyncio.run(generate_audio_edge(text))
```

---

### ✅ 3. **Bark (by Suno) — realistic but heavier**
Bark is a **deep-learning TTS model** capable of tone, emotion, and even some sound effects. It’s slower and heavier to run locally, but very realistic.

- Repo: https://github.com/suno-ai/bark

---

### 🔄 Swapping Your `gTTS` Code
You can replace the `generate_audio` function in your script with either the Coqui or Edge TTS version above. Both will sound **vastly more human** than `gTTS`.

Let me know:
- if you prefer **offline vs online**
- want **specific voice types** (e.g., newsreader, casual, emotional)
- or need **multilingual support**

and I’ll help tailor the exact solution for you.

gpt-4o

import edge_tts
import asyncio
import os
import logging

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

def generate_audio(text: str, output_filename: str = "broadcast_audio.mp3"):
    """
    Generates speech audio from text using gTTS and saves it to a file.
    """
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    logging.info(f"Attempting to generate audio for text (first 50 chars): '{text[:50]}...'")
    logging.info(f"Output path: {output_path}")

    try:
        logging.info("Initializing gTTS object.")
        tts = gTTS(text=text, lang='en', slow=False)
        logging.info(f"gTTS object created. Attempting to save to {output_path}")
        tts.save(output_path)
        logging.info("gTTS save operation completed.")
        
        # Verify file size
        if os.path.exists(output_path):
            file_size = os.path.getsize(output_path)
            if file_size > 0:
                logging.info(f"Audio generated successfully. File size: {file_size} bytes.")
                return output_path
            else:
                logging.error(f"Generated audio file is empty: {output_path}")
                raise Exception("Generated audio file is empty.")
        else:
            logging.error(f"Audio file was not created at: {output_path}")
            raise Exception("Audio file was not created.")
            
    except Exception as e:
        logging.error(f"Error generating audio with gTTS: {e}", exc_info=True)
        raise

if __name__ == "__main__":
    # Example usage
    sample_text = "This is a test broadcast. The news of the day is very important."
    try:
        generated_file = generate_audio(sample_text)
        print(f"Audio generated and saved to: {generated_file}")
    except Exception as e:
        print(f"Failed to generate audio in example: {e}")import edge_tts
import asyncio

async def generate_audio_edge(text, output_filename="broadcast_audio.mp3"):
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    communicate = edge_tts.Communicate(text, voice="en-US-JennyNeural")
    await communicate.save(output_path)
    return output_path

# Wrapper to run the async function
def generate_audio(text):
    return asyncio.run(generate_audio_edge(text))

You're on the right track! You pasted two versions of the `generate_audio` function — one using `gTTS` (now outdated in your case) and the other using the more natural-sounding `edge-tts`. To clean things up and avoid confusion, here's a fully working **Edge TTS-only version** of your script with proper logging and the async wrapper baked in:

---

### ✅ Clean Version: `edge_tts` with Logging

```python
import edge_tts
import asyncio
import os
import logging

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

async def generate_audio_edge(text: str, output_filename: str = "broadcast_audio.mp3") -> str:
    """
    Asynchronously generates speech audio from text using Edge TTS and saves it to a file.
    """
    output_dir = "static/audio"
    os.makedirs(output_dir, exist_ok=True)
    output_path = os.path.join(output_dir, output_filename)

    logging.info(f"Generating audio for text (first 50 chars): '{text[:50]}...'")
    logging.info(f"Output path: {output_path}")

    try:
        communicate = edge_tts.Communicate(text, voice="en-US-JennyNeural")
        await communicate.save(output_path)

        if os.path.exists(output_path) and os.path.getsize(output_path) > 0:
            logging.info(f"Audio generated successfully: {output_path}")
            return output_path
        else:
            logging.error("Audio generation failed or file is empty.")
            raise Exception("Audio file was not created or is empty.")
    except Exception as e:
        logging.error(f"Error generating audio with edge-tts: {e}", exc_info=True)
        raise

def generate_audio(text: str, output_filename: str = "broadcast_audio.mp3") -> str:
    """
    Synchronous wrapper for the async Edge TTS generator.
    """
    return asyncio.run(generate_audio_edge(text, output_filename))

if __name__ == "__main__":
    sample_text = "This is a test broadcast. The news of the day is very important."
    try:
        generated_file = generate_audio(sample_text)
        print(f"Audio generated and saved to: {generated_file}")
    except Exception as e:
        print(f"Failed to generate audio: {e}")
```

---

### 🗣 Voice Customization Options

To change voices, use:
```python
TTS_VOICE = "en-US-GuyNeural"  # For a male voice
```

Run this to list available voices (from command line):
```bash
edge-tts --list-voices
```

---

Let me know if you want to:
- Loop through voices
- Add emotion/style settings
- Export WAV instead of MP3
- Bundle this into a Flask/Django endpoint

I'd be happy to help!

gpt-4o