no code implementations • 17 Sep 2023 • Ahmed Adel Attia, Yashish M. Siriwardena, Carol Espy-Wilson
The performance of deep learning models depends significantly on their capacity to encode input features efficiently and decode them into meaningful outputs.
no code implementations • 12 Sep 2023 • Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson
Recent advancements in Automatic Speech Recognition (ASR) systems, exemplified by Whisper, have demonstrated the potential of these systems to approach human-level performance given sufficient data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 18 May 2023 • Ahmed Adel Attia, Mark Tiede, Carol Y. Espy-Wilson
Accurate analysis of speech articulation is crucial for speech analysis.
1 code implementation • 27 Oct 2022 • Ahmed Adel Attia, Carol Espy-Wilson
Articulatory recordings track the positions and motion of different articulators along the vocal tract and are widely used to study speech production and to develop speech technologies such as articulatory based speech synthesizers and speech inversion systems.
no code implementations • 25 May 2022 • Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman, Carol Espy-Wilson
In this work, we compare and contrast different ways of doing data augmentation and show how this technique improves the performance of articulatory speech inversion not only on noisy speech, but also on clean speech data.