2 citations · 2 across the 2 of their papers we have counts for
3 papers
Benchmarking Neural Speech Codec Intelligibility with SITool
Anna Leschanowsky, Kishor Kayyar Lakshminarayana, Anjana Rajasekhar +4
Speech intelligibility assessment is essential for evaluating neural speech codecs, yet most evaluation efforts focus on overall quality rather than intelligibility. Only a few pub…
Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron
Kishor Kayyar Lakshminarayana, Frank Zalkow, Christian Dittmar +2
In recent years, several text-to-speech systems have been proposed to synthesize natural speech in zero-shot, few-shot, and low-resource scenarios. However, these methods typically…
Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation
Kishor Kayyar Lakshminarayana, Christian Dittmar, Nicola Pia +1
Many neural text-to-speech architectures can synthesize nearly natural speech from text inputs. These architectures must be trained with tens of hours of annotated and high-quality…