What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Speech recognition
- Perception
Martin Cooke mainly focuses on Speech recognition, Speech perception, Noise, Intelligibility and Speech processing.
The study incorporates disciplines such as Artificial intelligence and Auditory scene analysis in addition to Speech recognition.
His Artificial intelligence study incorporates themes from Missing data and Natural language processing.
His research in Speech perception intersects with topics in Background noise, Active listening and Perceptual Masking.
His Intelligibility research includes elements of Consonant and Phonation.
His Speech processing research is multidisciplinary, relying on both Cognitive psychology, Imperfect and Foreign language.
His most cited work include:
- An audio-visual corpus for speech perception and automatic speech recognition (759 citations)
- Computational auditory scene analysis (609 citations)
- Robust automatic speech recognition with missing and unreliable acoustic data (590 citations)
What are the main themes of his work throughout his whole career to date?
Martin Cooke mostly deals with Speech recognition, Intelligibility, Speech perception, Noise and Artificial intelligence.
His work on Speech processing as part of his general Speech recognition study is frequently connected to QUIET, thereby bridging the divide between different branches of science.
His study looks at the relationship between Intelligibility and topics such as Speech production, which overlap with Lombard effect.
His work deals with themes such as Consonant and Perceptual Masking, which intersect with Speech perception.
His work carried out in the field of Artificial intelligence brings together such families of science as Natural language processing, Missing data, Computer vision and Pattern recognition.
His research investigates the connection with Auditory scene analysis and areas like Computational auditory scene analysis which intersect with concerns in Computational model.
He most often published in these fields:
- Speech recognition (77.71%)
- Intelligibility (34.86%)
- Speech perception (22.29%)
What were the highlights of his more recent work (between 2016-2020)?
- Speech recognition (77.71%)
- Intelligibility (34.86%)
- Consonant (16.00%)
In recent papers he was focusing on the following fields of study:
Speech recognition, Intelligibility, Consonant, Active listening and Noise are his primary areas of study.
His Speech recognition research includes themes of Speech perception, Rhythm and Depression.
His biological study spans a wide range of topics, including Speech modification, Speech enhancement and Weighting.
His Consonant research is multidisciplinary, incorporating elements of Foreign language, Perception, Perceptual learning and First language.
His work in Active listening addresses issues such as Cognitive psychology, which are connected to fields such as Word, Lexical frequency and Speech synthesis.
His work in the fields of Noise, such as Noise exposure, overlaps with other areas such as Exposure test.
Between 2016 and 2020, his most popular works were:
- Intelligibility-enhancing speech modifications: the Hurricane Challenge (60 citations)
- Talkers produce more pronounced amplitude modulations when speaking in noise (11 citations)
- Glottal Source Features for Automatic Speech-Based Depression Assessment. (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Speech recognition
- Perception
His scientific interests lie mostly in Speech recognition, Intelligibility, Active listening, Speech sounds and Energetic masking.
His research integrates issues of Comprehension, Modulation spectrum and Depression in his study of Speech recognition.
Martin Cooke combines subjects such as Speech modification, Speech enhancement and Weighting with his study of Intelligibility.
His Active listening study integrates concerns from other disciplines, such as Amplitude modulation, Cognitive psychology, Speech perception and Noise.
His Speech sounds study frequently draws connections between related disciplines such as Speech rate.
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