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VoiceCraft: A Transformer-based Neural Codec Language Model (NCLM) that Achieves State-of-the-Art Performance on Speech Editing and Zero-Shot TTS
Overview
When natural language processing (NLP) emerged, the primary concept involved training a language model to be directly applicable to spoken utterances. Researchers are now exploring the potential of developing a unified model for zero-shot text-to-speech and speech editing, marking a significant step forward in the field.
Practical Solutions
VOICECRAFT, an NCLM based on Transformers, accomplishes state-of-the-art results in zero-shot TTS and speech editing. The team created a unique dataset called REALEDIT to test speech editing, presenting a greater challenge than popular speech synthesis assessment datasets like VCTK, LJSpeech, and LibriTTS. VOICECRAFT performs far better in human listening tests and its edited speech sounds almost identical to the original, unaltered audio. The team has made all their code and model weights publicly available to help with research into AI safety and speech synthesis.
Value
VOICECRAFT’s progress brings new opportunities and hurdles, and its sophisticated model provides better performance than strong baselines, such as replicated VALL-E and the well-known commercial model XTTS v2. It also doesn’t require fine-tuning. This AI solution can redefine your way of work by automating customer engagement 24/7 and managing interactions across all customer journey stages.
AI Implementation
If you want to evolve your company with AI, consider VoiceCraft for its state-of-the-art performance on speech editing and zero-shot TTS. Identify automation opportunities, define KPIs, select an AI solution that aligns with your needs, and implement gradually. Start with a pilot, gather data, and expand AI usage judiciously.
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