2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Brian Yan, Injy Hamed, Shuichiro Shimizu +24
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4…
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis
Ramanan Sivaguru, Vasista Sai Lodagala, S Umesh
While FastSpeech2 aims to integrate aspects of speech such as pitch, energy, and duration as conditional inputs, it still leaves scope for richer representations. As a part of this…
CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations
Vasista Sai Lodagala, Sreyan Ghosh, S. Umesh
While Self-Supervised Learning has helped reap the benefit of the scale from the available unlabeled data, the learning paradigms are continuously being bettered. We present a new…