Now showing items 1-4 of 4

    • Auditory representation learning 

      Sailor, Hardik B. (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Representation learning (RL) or feature learning has a huge impact in the field of signal processing applications. The goal of the RL approaches is to learn the meaningful representation directly from the data that can be ...
    • Classification of Pathological Infant Cries and Dysarthric Severity-Level 

      Kachhi, Aastha Bidhenbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Vocal communication is the most important part of any individual�s life to convey their needs. Right from the first cry of neonates to the matured adult speech, required proper brain co-ordination. Any kind of lack in ...
    • Data Augmentation Using CycleGAN for Children’s ASR43e 

      Singh, Dipesh Kumar (2021)
      Extensive use of voice assistants by children in their day-to-day life activities asks for better performance of Automatic Speech Recognition (ASR) for children’speech. The recent advancements in ASR perform better for ...
    • Self-Supervised Speech Representation for Speech Recognition 

      Chaturvedi, Shreya Sanjay (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Voice Assistants (VAs) are nowadays an integral part of human�s life. The low resource applications of VAs, such as regional languages, children speech, medical conversation, etc are the key challenges faced during development ...