What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Speech recognition
Iain McCowan mainly focuses on Artificial intelligence, Speech recognition, Hidden Markov model, Natural language processing and Acoustic model.
His study ties his expertise on Pattern recognition together with the subject of Artificial intelligence.
His Pattern recognition study incorporates themes from Change detection and Bayesian information criterion.
His Speech recognition research focuses on Speech processing in particular.
His Hidden Markov model research incorporates themes from Artificial neural network, Perceptron, Segmentation and Posterior probability.
The various areas that Iain McCowan examines in his Acoustic model study include Speech enhancement, Voice activity detection and Speech corpus.
His most cited work include:
- The AMI meeting corpus: a pre-announcement (549 citations)
- The AMI meeting corpus (301 citations)
- Microphone array post-filter based on noise field coherence (254 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Speech recognition, Artificial intelligence, Microphone, Microphone array and Speech processing.
The study incorporates disciplines such as Speech enhancement, Beamforming and Noise-canceling microphone in addition to Speech recognition.
The Hidden Markov model research Iain McCowan does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Set, therefore creating a link between diverse domains of science.
His Microphone research incorporates elements of Sensor array, Task and Word error rate.
Iain McCowan combines subjects such as Background noise, Frequency band, Noise, Computer vision and Particle filter with his study of Microphone array.
His Speech processing research includes themes of Cepstrum, Feature, Noise and Wideband.
He most often published in these fields:
- Speech recognition (63.64%)
- Artificial intelligence (40.91%)
- Microphone (36.36%)
What were the highlights of his more recent work (between 2006-2011)?
- Speech recognition (63.64%)
- Microphone (36.36%)
- Beamforming (22.73%)
In recent papers he was focusing on the following fields of study:
Iain McCowan mostly deals with Speech recognition, Microphone, Beamforming, Microphone array and Artificial intelligence.
Speech recognition is closely attributed to Signal processing in his study.
His study in Microphone is interdisciplinary in nature, drawing from both Sensor array and Noise.
His biological study spans a wide range of topics, including Speech enhancement, Noise-canceling microphone and Blind signal separation.
Iain McCowan studied Speech enhancement and Speech processing that intersect with Noise.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
Between 2006 and 2011, his most popular works were:
- Audiovisual Probabilistic Tracking of Multiple Speakers in Meetings (131 citations)
- Microphone Array Shape Calibration in Diffuse Noise Fields (75 citations)
- Speech Enhancement and Recognition in Meetings With an Audio–Visual Sensor Array (62 citations)
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