What are the advancements in meeting transcription using Deep Speech?

Dec 17, 2014 ... We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional ... We developed a deep learning framework for speech inpainting, the context-based retrieval of large portions of missing or severely degraded time-frequency ... Sep 25, 2024 ... DeepSpeech is a system for recognizing speech that utilizes deep learning models to transcribe spoken words into written text. It utilizes a ... Dec 10, 2020 ... A library for running inference with a DeepSpeech model. Product Versions Compatible and additional computed target framework versions. Dec 8, 2021 ... ... DeepSpeech Engine. DLR.de • Chart 1 ... • Various models were trained with DeepSpeech providing very good results for ATC speech (WER 6%). We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional ... We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Jun 11, 2022 ... Background. Speech is the most common modality through which language is communicated, and delayed, disordered, or absent speech production is a ... We propose a time-domain articulatory synthesis methodology and demonstrate its efficacy with both electromagnetic articulography (EMA) and synthetic ... In the current context, voice synthesis has both beneficial and detrimental applications, with audio deepfakes being a significant concern in the world of ...