What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Natural language processing
- Speech recognition
His main research concerns Artificial intelligence, Speech recognition, Natural language processing, Speech synthesis and Mixture model.
His Artificial intelligence study focuses on Natural language in particular.
His research integrates issues of Quality and Selection in his study of Speech recognition.
His Natural language processing research includes themes of Pronunciation and Word.
His Speech synthesis study combines topics in areas such as Selection, Prosody, Parametric statistics and Hidden Markov model.
His Mixture model study integrates concerns from other disciplines, such as Artificial neural network, Loudspeaker and Vocal tract.
His most cited work include:
- Unit selection in a concatenative speech synthesis system using a large speech database (1060 citations)
- Statistical Parametric Speech Synthesis (953 citations)
- Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory (765 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Speech recognition, Speech synthesis and Human–computer interaction.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Pattern recognition.
His work carried out in the field of Natural language processing brings together such families of science as Pronunciation, Context and Domain.
His study in Hidden Markov model, Speech corpus, Speech processing, Word error rate and Utterance falls within the category of Speech recognition.
His Speech synthesis research is multidisciplinary, incorporating perspectives in Quality, Parametric statistics, Natural language and Selection.
Much of his study explores Human–computer interaction relationship to Dialog box.
He most often published in these fields:
- Artificial intelligence (55.22%)
- Natural language processing (45.02%)
- Speech recognition (42.79%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (55.22%)
- Natural language processing (45.02%)
- Speech recognition (42.79%)
In recent papers he was focusing on the following fields of study:
Alan W. Black mostly deals with Artificial intelligence, Natural language processing, Speech recognition, Context and Word.
His Artificial intelligence course of study focuses on Machine learning and Dialog box.
His work investigates the relationship between Natural language processing and topics such as Style that intersect with problems in Code-switching.
Word error rate and Speech synthesis are the primary areas of interest in his Speech recognition study.
His Word error rate study which covers Feature that intersects with Feature extraction.
His Phone research integrates issues from Spoken dialog systems and Spoken language.
Between 2017 and 2021, his most popular works were:
- Style Transfer Through Back-Translation (190 citations)
- The Second Conversational Intelligence Challenge (ConvAI2) (133 citations)
- Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. (81 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Natural language processing
- Programming language
Alan W. Black mainly focuses on Artificial intelligence, Natural language processing, Speech recognition, Word and Transcription.
His Artificial intelligence research incorporates elements of Code and Machine learning.
Specifically, his work in Natural language processing is concerned with the study of Sentence.
His Speech recognition research is multidisciplinary, incorporating elements of Domain, Speech translation, BLEU and Phone.
The various areas that Alan W. Black examines in his Transcription study include Orthography and Speech synthesis.
His research in Speech synthesis focuses on subjects like Zero, which are connected to Unsupervised learning.
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