Recently, there is increasing interest in multilingual automatic speech recognition (ASR)
where a speech recognition system caters to multiple low resource languages by taking …

Significant research has been conducted during the last decade on the application of
machine learning for speech processing, particularly speech recognition. However, in recent …

We present free high quality multi-speaker speech corpora for Gujarati, Kannada,
Malayalam, Marathi, Tamil and Telugu, which are six of the twenty two official languages of …

Although Automatic Speech Recognition (ASR) systems have achieved human-like
performance for a few languages, the majority of the world's languages do not have usable …

Recent methods in speech and language technology pretrain very large models which are
fine-tuned for specific tasks. However, the benefits of such large models are often limited to a …

Cross-lingual transfer of knowledge from high-resource languages to low-resource
languages is an important research problem in automatic speech recognition (ASR). We …

A cornerstone in AI research has been the creation and adoption of standardized training
and test datasets to earmark the progress of state-of-the-art models. A particularly successful …

We present INDICVOICES, a dataset of natural and spontaneous speech containing a total
of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 …

Research in speech recognition is progressing with numerous state-ofthe-art results in
recent times. However, relatively fewer research is being carried out in Automatic Speech …

Automatic speech recognition (ASR) in Sanskrit is interesting, owing to the various linguistic
peculiarities present in the language. The Sanskrit language is lexically productive …