All Outputs (4)

Robustness of speaker recognition from noisy speech samples and mismatched languages (2016)
Presentation / Conference
Al-Noori, A., Li, F., & Duncan, P. (2016, June). Robustness of speaker recognition from noisy speech samples and mismatched languages. Presented at 140th Convention-AES, Paris

Speaker recognition systems can typically attain high performance in ideal conditions. However, significant degradations in accuracy are found in channel-mismatched scenarios. Non-stationary environmental noises and their variations are listed at the... Read More about Robustness of speaker recognition from noisy speech samples and mismatched languages.

Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses (2015)
Presentation / Conference
Mohammed, D., Duncan, P., & Li, F. (2015, August). Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses. Presented at Global Summit and Expo on Multimedia & Applications, Birmingham, UK

Soundtracks of multimedia files are information rich, from which much content-related metadata can be extracted. There is a pressing demand for automated classification, identification and information mining of audio content. A segment of the audio s... Read More about Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses.

Audio information mining pragmatic review, outlook and a universal open architecture (2014)
Presentation / Conference
Duncan, P., Mohammed, D., & Li, F. (2014, April). Audio information mining pragmatic review, outlook and a universal open architecture. Presented at Audio Engineering Society 136th Convention, Berlin

There is an immense amount of audio data available currently whose content is unspecified and the problem of classification and generation of metadata poses a significant and challenging research problem. We present a review of past and current work... Read More about Audio information mining pragmatic review, outlook and a universal open architecture.

Audio information extraction from arbitrary sound recordings
Presentation / Conference
Duncan, P., Mohammed, D., & Li, F. Audio information extraction from arbitrary sound recordings. Presented at 22nd International Congress on Sound and Vibration (ICSV22), Florence, Italy

Numerous archives of entertainment soundtracks and other recordings such as environmental noise samples have imposed a big data challenge in audio related industries. This necessitates the use of machine audition and retrieval tools to extract semant... Read More about Audio information extraction from arbitrary sound recordings.