How are transformer-based models further being developed for speech recognition?

Training on a dataset of about 50 hours of telephone speech, which was part Switchboard and partly collected in-house, we got an error rate of about 80% with ... Apr 20, 2018 ... Baidu Research's Deep Speech 2 model converts speech to text end to end from a normalized sound spectrogram to the sequence of characters. 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 ... Aeneas Angular Ansible CSS DeepSpeech Django FFMPEG Flask GitHub HTML IBM ... DeepSpeech (1); Django (2); FFMPEG (1); Flask (3); GitHub (1); HTML (3); IBM ... What is Deep Speech 2. ○ End-to-End Deep learning based speech recognition system. ○ No need for hand engineered components. ○ Is able to handle noisy ... 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 ... Recommendations · Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering · Deep voice 2: multi-speaker neural text-to-speech · Deep ... DeepSpeech ... DeepSpeech architecture introduced in Deep Speech: Scaling up end-to-end speech recognition [Hannun et al., 2014]. Parameters: n_feature – ... DeepSpeech is a tool for automatically transcribing spoken audio. DeepSpeech takes digital audio as input and returns a “most likely” text transcript of that ... Apr 17, 2025 ... Yesterday, I came across a profound speech by Shah Rukh Khan that stopped me in my tracks as this was something I've been thinking about for ...