During April 2025, Dengwei focused on enhancing audio quality in the davideuler/index-tts repository by developing a feature to trim ultra-long silences in text-to-speech outputs. He implemented the remove_long_silence function, which detects and removes excessive consecutive silence tokens from audio codes, directly improving the naturalness and perceived quality of generated speech. Working primarily in Python and leveraging his expertise in audio processing and deep learning, Dengwei addressed a common issue in speech synthesis systems where unnatural pauses disrupt user experience. His month-long effort resulted in a targeted, well-integrated solution that improved the overall effectiveness of the TTS pipeline.