2004 - IEEE Fellow For contributions to noise robust speech recognition and speech technology education.
Alejandro Acero focuses on Speech recognition, Artificial intelligence, Natural language processing, Speech processing and Word error rate. The various areas that Alejandro Acero examines in his Speech recognition study include Context, Normalization and Noise. His Artificial intelligence study frequently draws connections between adjacent fields such as Pattern recognition.
His studies deal with areas such as Web search query and Classifier as well as Natural language processing. His research integrates issues of Minimum mean square error and Speech enhancement in his study of Speech processing. His Word error rate study combines topics in areas such as Word, Pruning, Index and Audio mining.
His main research concerns Speech recognition, Artificial intelligence, Pattern recognition, Natural language processing and Signal. Alejandro Acero works mostly in the field of Speech recognition, limiting it down to concerns involving Noise and, occasionally, Reduction. His Discriminative model, Hidden Markov model, Natural language, Word and Feature vector investigations are all subjects of Artificial intelligence research.
His research investigates the connection between Pattern recognition and topics such as Distortion that intersect with problems in Channel. The Natural language processing study combines topics in areas such as Grammar and Adaptive grammar. His biological study spans a wide range of topics, including Acoustics, Noise reduction and Value.
His primary areas of study are Speech recognition, Artificial intelligence, Pattern recognition, Natural language processing and Noise. Speech recognition and Speech enhancement are frequently intertwined in his study. His Artificial intelligence research includes elements of Probability distribution and Adaptation.
His study in Pattern recognition focuses on Hidden Markov model in particular. His studies in Natural language processing integrate themes in fields like Query expansion, Information retrieval and Web query classification. He interconnects Minimum mean square error, Acoustic model, Decoding methods and Probabilistic logic in the investigation of issues within Noise.
Alejandro Acero mainly investigates Speech recognition, Artificial intelligence, Noise, Hidden Markov model and Word error rate. His Speech recognition research is multidisciplinary, incorporating perspectives in Context model and Phrase. His Artificial intelligence study incorporates themes from Pronunciation, Natural language processing, Query language and Pattern recognition.
His work in Pattern recognition covers topics such as Artificial neural network which are related to areas like Sequence, Feature vector and Word. His Hidden Markov model research incorporates themes from Restricted Boltzmann machine, Parallelizable manifold, Mathematical optimization and Rendering. His Word error rate research is multidisciplinary, incorporating elements of Context, Statistical classification, Mixture model, Discriminative model and Piecewise.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
G. E. Dahl;Dong Yu;Li Deng;A. Acero.
IEEE Transactions on Audio, Speech, and Language Processing (2012)
Text-to-speech using clustered context-dependent phoneme-based units
Alejandro Acero;Hsiao-Wuen Hon;Xuedong D. Huang.
Journal of the Acoustical Society of America (1997)
Method and system of runtime acoustic unit selection for speech synthesis
Huang Xuedong D;Plumpe Michael D;Acero Alejandro;Adcock James L.
Multiple approaches to robust speech recognition
Richard M. Stern;Fu-Hua Liu;Yoshiaki Ohshima;Thomas M. Sullivan.
human language technology (1992)
Method and apparatus for multi-sensory speech enhancement
Alejandro Acero;James G. Droppo;Li Deng;Michael J. Sinclair.
Combined speech and alternate input modality to a mobile device
Milind V. Mahajan;Alejandro Acero;Bo-June Hsu.
Journal of the Acoustical Society of America (2006)
Efficient cepstral normalization for robust speech recognition
Fu-Hua Liu;Richard M. Stern;Xuedong Huang;Alejandro Acero.
human language technology (1993)
Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion
Li Deng;J. Droppo;A. Acero.
IEEE Transactions on Speech and Audio Processing (2005)
Robust speech recognition by normalization of the acoustic space
A. Acero;R.M. Stern.
international conference on acoustics, speech, and signal processing (1991)
Method and apparatus for removing noise from feature vectors
Brendan J. Frey;Alejandro Acero;Li Deng.
Journal of the Acoustical Society of America (2001)
Profile was last updated on December 6th, 2021.
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