Speech recognition technology is crucial for virtual assistants, transcription services, and accessibility tools. However, correcting errors generated by automatic speech recognition (ASR) systems is a challenge. Apple's Denoising LM (DLM) is an advanced error correction model that uses synthetic data from TTS systems to improve ASR accuracy. It synthesizes audio using TTS systems, pairs noisy hypotheses with original texts, and employs various techniques to achieve a 1.5% word error rate (WER) on the Librispeech test-clean dataset. The DLM's ability to improve ASR accuracy and scalability makes it a significant advancement in speech recognition, promising more accurate and reliable ASR systems in the future. AI solutions can redefine work processes and provide automation opportunities. Our AI Sales Bot from itinai.com/aisalesbot is designed to automate customer engagement 24/7 and manage interactions across all customer journey stages, redefining sales processes and customer engagement. For AI KPI management advice and insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram t.me/itinainews or Twitter @itinaicom.
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