Prateeth Nayak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Subject To Linear Constraints

Metric Learning

Top Venues

Publications

Arnav Kundu, Prateeth Nayak, Hywel Richards, Priyanka Padmanabhan, Devang Naik
RepCNN: Micro-sized, Mighty Models for Wakeword Detection. CoRR (2024)
Pranay Dighe, Prateeth Nayak, Oggi Rudovic, Erik Marchi, Xiaochuan Niu, Ahmed H. Tewfik
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR. ICASSP (2023)
Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Improving Voice Trigger Detection with Metric Learning. CoRR (2022)
Pranay Dighe, Prateeth Nayak, Oggi Rudovic, Erik Marchi, Xiaochuan Niu, Ahmed H. Tewfik
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR. CoRR (2022)
Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Improving Voice Trigger Detection with Metric Learning. INTERSPEECH (2022)
Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. CoRR (2020)
Prateeth Nayak, David Zhang, Sek Chai
Bit Efficient Quantization for Deep Neural Networks. CoRR (2019)
Prateeth Nayak, David Zhang, Sek Chai
Bit Efficient Quantization for Deep Neural Networks. EMC2@NeurIPS (2019)