Noise robust voice activity detection using normal probability testing and time-domain histogram analysis. - Houman Ghaemmaghami; David Dean; Sridha Sridharan; Iain McCowan (ICASSP, 2010)

Noise robust voice activity detection using features extracted from the time-domain autocorrelation function. - Houman Ghaemmaghami; Brendan Baker; Robert Vogt; Sridha Sridharan (INTERSPEECH, 2010)

Extending the Task of Diarization to Speaker Attribution. - Houman Ghaemmaghami; David Dean; Robbie Vogt; Sridha Sridharan (INTERSPEECH, 2011)

Speaker attribution of multiple telephone conversations using a complete-linkage clustering approach. - Houman Ghaemmaghami; David Dean; Robbie Vogt; Sridha Sridharan (ICASSP, 2012)

Speaker Attribution of Australian Broadcast News Data. - Houman Ghaemmaghami; David Dean; Sridha Sridharan (SLAM@INTERSPEECH, 2013)

A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets. - Houman Ghaemmaghami; David Dean; Sridha Sridharan (EUSIPCO, 2014)

Application of anomaly technique in wind turbine bearing fault detection. - Afrooz Purarjomandlangrudi; Ghavameddin Nourbakhsh; Houman Ghaemmaghami; Andy Tan (IECON, 2014)

An iterative speaker re-diarization scheme for improving speaker-based entity extraction in multimedia archives. - Houman Ghaemmaghami; David Dean; Sridha Sridharan (INTERSPEECH, 2014)

A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings. - Houman Ghaemmaghami; David Dean; Sridha Sridharan (ICASSP, 2015)

The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition. - David Dean; Ahilan Kanagasundaram; Houman Ghaemmaghami; Md. Hafizur Rahman; Sridha Sridharan (INTERSPEECH, 2015)

Complete-linkage clustering for voice activity detection in audio and visual speech. - Houman Ghaemmaghami; David Dean; Shahram Kalantari; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2015)

Cross database training of audio-visual hidden Markov models for phone recognition. - Shahram Kalantari; David Dean; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2015)

Acoustic Adaptation in Cross Database Audio Visual SHMM Training for Phonetic Spoken Term Detection. - Shahram Kalantari; David Dean; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (SLAM@ACM Multimedia, 2015)

Speakers In The Wild (SITW): The QUT Speaker Recognition System. - Houman Ghaemmaghami; Md. Hafizur Rahman; Ivan Himawan; David Dean; Ahilan Kanagasundaram; Sridha Sridharan; Clinton Fookes (INTERSPEECH, 2016)

A study of speaker clustering for speaker attribution in large telephone conversation datasets. - Houman Ghaemmaghami; David Dean; Sridha Sridharan; David A. van Leeuwen (Comput. Speech Lang., 2016)

A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems. - Ahilan Kanagasundaram; David Dean; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (Int. J. Speech Technol., 2017)

Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (CoRR, 2020)

Heart Sound Segmentation Using Bidirectional LSTMs With Attention. - Tharindu Fernando; Houman Ghaemmaghami; Simon Denman; Sridha Sridharan; Nayyar Hussain; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2020)

Domain Generalization in Biosignal Classification. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (IEEE Trans. Biomed. Eng., 2021)

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2021)

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. - Tharindu Fernando; Sridha Sridharan; Simon Denman; Houman Ghaemmaghami; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2022)