40 citations · 91 across the 21 of their papers we have counts for
21 papers
Automatic Speech Recognition for Hindi
Anish Saha, A. G. Ramakrishnan
Automatic speech recognition (ASR) is a key area in computational linguistics, focusing on developing technologies that enable computers to convert spoken language into text. This…
A Classifier Using Global Character Level and Local Sub-unit Level Features for Hindi Online Handwritten Character Recognition
Anand Sharma, A. G. Ramakrishnan
A classifier is developed that defines a joint distribution of global character features, number of sub-units and local sub-unit features to model Hindi online handwritten characte…
Structural analysis of Hindi online handwritten characters for character recognition
Anand Sharma, A. G. Ramakrishnan
Direction properties of online strokes are used to analyze them in terms of homogeneous regions or sub-strokes with points satisfying common geometric properties. Such sub-strokes…
Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition
Anand Sharma, A. G. Ramakrishnan
A set of features independent of character stroke direction and order variations is proposed for online handwritten character recognition. A method is developed that maps features…
Knowledge-driven Subword Grammar Modeling for Automatic Speech Recognition in Tamil and Kannada
Madhavaraj A, Bharathi Pilar, Ramakrishnan A G
In this paper, we present specially designed automatic speech recognition (ASR) systems for the highly agglutinative and inflective languages of Tamil and Kannada that can recogniz…
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
Anoop C S, Prathosh A P, A G Ramakrishnan
Building an automatic speech recognition (ASR) system from scratch requires a large amount of annotated speech data, which is difficult to collect in many languages. However, there…