The best practices for collecting user feedback on text-to-speech (TTS) output involve structured methods to gather actionable insights while minimizing bias. Start by designing feedback mechanisms that focus on specific aspects of the TTS output, such as naturalness, clarity, pronunciation accuracy, and emotional tone. For example, use Likert-scale questions (e.g., “Rate how natural the voice sounds from 1 to 5”) paired with open-ended questions (e.g., “Describe any parts that sounded robotic”). This combination allows quantitative analysis of trends and qualitative details about specific issues. Avoid vague prompts like “Is the audio good?” because they lack context and lead to inconsistent responses.
Another key practice is integrating feedback collection directly into the user’s workflow. For instance, if your TTS system is part of an app, include a simple “Report Issue” button that lets users flag problematic audio segments. Attach metadata like the input text, audio timestamp, and user settings (e.g., voice type, speed) to each submission. This helps developers reproduce and diagnose issues efficiently. For web-based TTS services, consider embedding short surveys after audio playback or using in-context tools like audio annotation interfaces where users can highlight mispronounced words or unnatural pauses. Tools like Speechace or custom-built annotation UIs can streamline this process.
Finally, prioritize iterative testing with diverse user groups. Conduct A/B tests comparing different TTS models or parameter settings (e.g., prosody adjustments) and collect feedback from users representing varied demographics, languages, and use cases. For example, test with non-native speakers to identify pronunciation challenges or with visually impaired users who rely heavily on TTS. Share anonymized results with your team to prioritize fixes—like updating phoneme dictionaries for problematic words or adjusting pitch algorithms. Regularly update feedback questions based on recurring issues to keep the process aligned with user needs. This approach ensures continuous improvement while maintaining a user-centered design.