Siddharth Sigtia

According to our database, Siddharth Sigtia authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Multimodal Approach to Device-Directed Speech Detection with Large Language Models.

Dominik Wagner, Alexander W. Churchill, Siddharth Sigtia, Panayiotis G. Georgiou, Matt Mirsamadi, Aarshee Mishra, Erik Marchi

CoRR, 2024

2023

Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models.

Dominik Wagner, Alexander W. Churchill, Siddharth Sigtia, Panayiotis G. Georgiou, Matt Mirsamadi, Aarshee Mishra, Erik Marchi

CoRR, 2023

2022

Improving Voice Trigger Detection with Metric Learning.

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

Proceedings of the Interspeech 2022, 2022

2021

Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation.

Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Progressive Voice Trigger Detection: Accuracy vs Latency.

Siddharth Sigtia, John Bridle, Hywel Richards, Pascal Clark, Erik Marchi, Vineet Garg

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering.

Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir

Proceedings of the Interspeech 2020, 2020

Multi-Task Learning for Speaker Verification and Voice Trigger Detection.

Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-Task Learning for Voice Trigger Detection.

Siddharth Sigtia, Pascal Clark, Rob Haynes, Hywel Richards, John Bridle

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Efficient Voice Trigger Detection for Low Resource Hardware.

Siddharth Sigtia, Rob Haynes, Hywel Richards, Erik Marchi, John Bridle

Proceedings of the Interspeech 2018, 2018

Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition.

Erik Marchi, Stephen Shum, Kvuveon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Neural networks for analysing music and environmental audio.

Siddharth Sigtia

PhD thesis, 2017

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging.

Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley

IEEE ACM Trans. Audio Speech Lang. Process., 2017

2016

Automatic Environmental Sound Recognition: Performance Versus Computational Cost.

Siddharth Sigtia, Adam M. Stark, Sacha Krstulovic, Mark D. Plumbley

IEEE ACM Trans. Audio Speech Lang. Process., 2016

An End-to-End Neural Network for Polyphonic Piano Music Transcription.

Siddharth Sigtia, Emmanouil Benetos, Simon Dixon

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging.

Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley

CoRR, 2016

Learning to Generate Genotypes with Neural Networks.

Alexander W. Churchill, Siddharth Sigtia, Chrisantha Fernando

CoRR, 2016

2015

An End-to-End Neural Network for Polyphonic Music Transcription.

Siddharth Sigtia, Emmanouil Benetos, Simon Dixon

CoRR, 2015

Chime-home: A dataset for sound source recognition in a domestic environment.

Peter Foster, Siddharth Sigtia, Sacha Krstulovic, Jon Barker, Mark D. Plumbley

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Audio Chord Recognition with a Hybrid Recurrent Neural Network.

Siddharth Sigtia, Nicolas Boulanger-Lewandowski, Simon Dixon

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

A hybrid recurrent neural network for music transcription.

Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

A Denoising Autoencoder that Guides Stochastic Search.

Alexander W. Churchill, Siddharth Sigtia, Chrisantha Fernando

CoRR, 2014

An RNN-based Music Language Model for Improving Automatic Music Transcription.

Siddharth Sigtia, Emmanouil Benetos, Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Improved music feature learning with deep neural networks.

Siddharth Sigtia, Simon Dixon

Proceedings of the IEEE International Conference on Acoustics, 2014