activity
20162021
collaborators

6 papers

eess.AS2021

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

Vineet Garg, Wonil Chang, Siddharth Sigtia +4

We present a unified and hardware efficient architecture for two stage voice trigger detection (VTD) and false trigger mitigation (FTM) tasks. Two stage VTD systems of voice assist…

eess.AS2020

Progressive Voice Trigger Detection: Accuracy vs Latency

Siddharth Sigtia, John Bridle, Hywel Richards +3

We present an architecture for voice trigger detection for virtual assistants. The main idea in this work is to exploit information in words that immediately follow the trigger phr…

eess.AS2020

Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering

Saurabh Adya, Vineet Garg, Siddharth Sigtia +2

We consider the design of two-pass voice trigger detection systems. We focus on the networks in the second pass that are used to re-score candidate segments obtained from the first…

eess.AS2020

Multi-task Learning for Speaker Verification and Voice Trigger Detection

Siddharth Sigtia, Erik Marchi, Sachin Kajarekar +2

Automatic speech transcription and speaker recognition are usually treated as separate tasks even though they are interdependent. In this study, we investigate training a single ne…

eess.AS2020

Multi-task Learning for Voice Trigger Detection

Siddharth Sigtia, Pascal Clark, Rob Haynes +2

We describe the design of a voice trigger detection system for smart speakers. In this study, we address two major challenges. The first is that the detectors are deployed in compl…

cs.NE2016

Learning to Generate Genotypes with Neural Networks

Alexander W. Churchill, Siddharth Sigtia, Chrisantha Fernando

Neural networks and evolutionary computation have a rich intertwined history. They most commonly appear together when an evolutionary algorithm optimises the parameters and topolog…