| 2016 | Interspeech | 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 |
| 2015 | ICASSP | A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings. | Houman Ghaemmaghami, David Dean, Sridha Sridharan |
| 2015 | Interspeech | The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition. | David Dean, Ahilan Kanagasundaram, Houman Ghaemmaghami, Md. Hafizur Rahman, Sridha Sridharan |
| 2015 | Interspeech | Complete-linkage clustering for voice activity detection in audio and visual speech. | Houman Ghaemmaghami, David Dean, Shahram Kalantari, Sridha Sridharan, Clinton Fookes |
| 2015 | Interspeech | Cross database training of audio-visual hidden Markov models for phone recognition. | Shahram Kalantari, David Dean, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes |
| 2014 | Interspeech | An iterative speaker re-diarization scheme for improving speaker-based entity extraction in multimedia archives. | Houman Ghaemmaghami, David Dean, Sridha Sridharan |
| 2014 | IECON | Application of anomaly technique in wind turbine bearing fault detection. | Afrooz Purarjomandlangrudi, Ghavameddin Nourbakhsh, Houman Ghaemmaghami, Andy Tan |
| 2013 | Interspeech | Speaker Attribution of Australian Broadcast News Data. | Houman Ghaemmaghami, David Dean, Sridha Sridharan |
| 2012 | ICASSP | Speaker attribution of multiple telephone conversations using a complete-linkage clustering approach. | Houman Ghaemmaghami, David Dean, Robbie Vogt, Sridha Sridharan |
| 2011 | Interspeech | Extending the Task of Diarization to Speaker Attribution. | Houman Ghaemmaghami, David Dean, Robbie Vogt, Sridha Sridharan |
| 2010 | ICASSP | Noise robust voice activity detection using normal probability testing and time-domain histogram analysis. | Houman Ghaemmaghami, David Dean, Sridha Sridharan, Iain McCowan |
| 2010 | Interspeech | Noise robust voice activity detection using features extracted from the time-domain autocorrelation function. | Houman Ghaemmaghami, Brendan Baker, Robert Vogt, Sridha Sridharan |