Speech Editing

Speech editing focuses on modifying audio recordings by manipulating their corresponding text transcripts, aiming to produce natural-sounding edited speech without directly altering the waveform. Current research emphasizes improving the fluency and acoustic consistency of edited segments, often employing neural network architectures like transformer decoders and diffusion models, along with techniques such as context-aware attention mechanisms and semantic enrichment of phoneme embeddings. This field is significant for applications in video production, social media content creation, and accessibility tools, with ongoing efforts to address challenges like handling out-of-domain text and achieving seamless integration of edited and original audio.