The problem with the audio output quality in your application may stem from several factors. Let's break down the possible reasons and suggest solutions:
Stability: A lower stability value (e.g., 0.35) may cause the voice to sound unnatural or robotic, as it reduces the coherence of the speech synthesis. You can try increasing this value to something around 0.7 or 0.8 for a more stable and natural-sounding voice. Similarity Boost: A value of 0.85 is quite high and may result in a synthetic-sounding voice. Lowering it to around 0.5 or 0.6 might make the voice sound more human-like. Style: A value of 0.55 is a reasonable middle ground, but you can experiment with values like 0.7 to improve expressiveness and tone. Suggested settings:
python Copy code "voice_settings": { "stability": 0.75, "similarity_boost": 0.6, "style": 0.7 } 2. Quality of the Text-to-Speech (TTS) Model It’s important to ensure that you're using the most appropriate voice model for Turkish language support. If Eleven Labs' API supports Turkish but the voice model you’ve selected doesn’t handle it well, it can result in poor quality. Model Choice: Some TTS models are optimized for different languages and accents. If the voice model you're using doesn’t support Turkish well, it may sound less clear or more distorted. Suggested Action: Look into Eleven Labs' documentation or their API to check if they offer a model with a better Turkish language output. If not, you might consider other alternatives like:
Google Cloud Text-to-Speech: Offers high-quality, multilingual voices with robust language support, including Turkish. Azure Speech Services: Another good option with a variety of high-quality voices in Turkish. ResponsiveVoice: Also supports Turkish and is known for producing reasonably natural-sounding speech. 3. Audio File Quality and Format MP3 Compression: MP3 files are lossy, which could degrade the sound quality. You could try outputting the audio in a higher-quality format like WAV to see if the quality improves, especially for complex languages like Turkish. Sampling Rate: Ensure that the pygame.mixer.init() is properly configured with a high enough sampling rate (like 44100 Hz), as low rates can cause poor audio fidelity. 4. Network Latency or API Limitations If there’s significant network latency or the API is throttling the requests, this can also affect the quality of the audio response. Ensure that the response time from the Eleven Labs API is not introducing issues. Consider checking if the optimize_streaming_latency parameter in your querystring is suitable for your needs. You might experiment with different values to see if this helps improve the quality. 5. Audio Playback Setup in Pygame Ensure that your Pygame mixer is set up correctly to handle the audio file without distortion. You can experiment with different mixer settings or playback configurations. Example:
python Copy code pygame.mixer.init(frequency=44100, size=-16, channels=2) 6. Alternative TTS APIs for Turkish Language If the Eleven Labs API doesn't provide satisfactory results, here are some alternative models that support Turkish and may produce better results:
Google Cloud Text-to-Speech: Supports Turkish, and you can choose from a wide range of high-quality voices. The voices are natural and customizable. Azure Speech Services: Microsoft Azure provides robust support for Turkish voices with high clarity and natural intonation. ResponsiveVoice: This API offers both free and premium options for Turkish speech synthesis, and it has received positive reviews for sound quality. Final Suggestions: Experiment with Eleven Labs voice settings: Adjust parameters like stability, similarity_boost, and style to find the right balance. Use a different TTS service: Try switching to Google Cloud or Azure for better Turkish language support and clearer speech synthesis. Audio Format and Quality: Consider testing WAV output instead of MP3 for higher fidelity. Improve Pygame audio setup: Experiment with different pygame.mixer configurations and ensure the sampling rate is set to 44100 Hz or higher. By addressing these areas, you should be able to improve the quality of the audio output significantly.