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TIMIT
TIMIT is a corpus of phonemically and lexically transcribed speech of American English speakers of different sexes and dialects. Each transcribed element has been delineated in time. TIMIT was designed to further acoustic-phonetic knowledge and automatic speech recognition systems. It was commissioned by DARPA and corpus design was a joint effort between the Massachusetts Institute of Technology, SRI International, and Texas Instruments (TI). The speech was recorded at TI, transcribed at MIT, and verified and prepared for publishing by the National Institute of Standards and Technology (NIST). There is also a telephone bandwidth version called NTIMIT (Network TIMIT). TIMIT and NTIMIT are not freely available — either membership of the Linguistic Data Consortium, or a monetary payment, is required for access to the dataset. Data TIMIT contains ~5 hours of speech, of 10 sentences spoken by each of 630 speakers. The sentences were randomly sampled from a corpus of 2342 sentenc ...
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Comparison Of Datasets In Machine Learning
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce. Many organizations, including governments, publish and share their datasets. The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The ...
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Lori Lamel
Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals. She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur. Education and career Lamel was a student at the Massachusetts Institute of Technology (MIT), where she earned bachelor's and master's degrees in electrical engineering and computer science in 1980 as a co-op student with Bell Labs. She earned her Ph.D. at MIT in 1988, with the dissertation ''Formalizing Knowledge used in Spectrogram Reading: Acoustic and perceptual evidence from stops'' supervised by Victor Zue. She completed a habilitation in 2004 at Paris-Sud University. She was a visiting researcher at CNRS in ...
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Speech Corpus
A speech corpus (or spoken corpus) is a database of speech audio files and text Transcription (linguistics), transcriptions. In speech technology, speech corpora are used, among other things, to create acoustic models (which can then be used with a speech recognition or speaker identification engine). In linguistics, spoken corpora are used to do research into phonetic, conversation analysis, dialectology and other fields. A corpus is one such database. Corpora is the plural of corpus (i.e. it is many such databases). There are two types of speech corpora: # Read Speech, which includes: #* Book excerpts #* Broadcast news #* Lists of words #* Sequences of numbers # Spontaneous Speech, which includes: #* Dialogs – between two or more people (includes meetings; one such corpus is the KEC); #* Narratives – a person telling a story (one such corpus is the Buckeye Corpus); #* Map-tasks – one person explains a route on a map to another; #* Appointment-tasks – two people try t ...
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Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent". Speech recognition applications include voice user interfaces ...
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Phonetics
Phonetics is a branch of linguistics that studies how humans produce and perceive sounds or, in the case of sign languages, the equivalent aspects of sign. Linguists who specialize in studying the physical properties of speech are phoneticians. The field of phonetics is traditionally divided into three sub-disciplines on questions involved such as how humans plan and execute movements to produce speech (articulatory phonetics), how various movements affect the properties of the resulting sound (acoustic phonetics) or how humans convert sound waves to linguistic information (auditory phonetics). Traditionally, the minimal linguistic unit of phonetics is the phone (phonetics), phone—a speech sound in a language which differs from the phonological unit of phoneme; the phoneme is an abstract categorization of phones and it is also defined as the smallest unit that discerns meaning between sounds in any given language. Phonetics deals with two aspects of human speech: production ( ...
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Linguistic Research
Linguistics is the scientific study of language. The areas of linguistic analysis are syntax (rules governing the structure of sentences), semantics (meaning), morphology (structure of words), phonetics (speech sounds and equivalent gestures in sign languages), phonology (the abstract sound system of a particular language, and analogous systems of sign languages), and pragmatics (how the context of use contributes to meaning). Subdisciplines such as biolinguistics (the study of the biological variables and evolution of language) and psycholinguistics (the study of psychological factors in human language) bridge many of these divisions. Linguistics encompasses many branches and subfields that span both theoretical and practical applications. Theoretical linguistics is concerned with understanding the universal and fundamental nature of language and developing a general theoretical framework for describing it. Applied linguistics seeks to utilize the scientific findings of t ...
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Dialectology
Dialectology (from Ancient Greek, Greek , ''dialektos'', "talk, dialect"; and , ''-logy, -logia'') is the scientific study of dialects: subsets of languages. Though in the 19th century a branch of historical linguistics, dialectology is often now considered a sub-field of, or subsumed by, sociolinguistics. It studies variations in language based primarily on geographic distribution and their associated features. Dialectology deals with such topics as divergence of two local dialects from a common ancestor and Historical_linguistics#Diachronic_and_synchronic_analysis, synchronic variation. Dialectologists are ultimately concerned with grammatical, lexical and phonological features that correspond to regional areas. Thus they usually deal not only with populations that have lived in certain areas for generations, but also with migrant groups that bring their languages to new areas (see language contact). Commonly studied concepts in dialectology include the problem of mutual intellig ...
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Corpora
Corpus (plural ''corpora'') is Latin for "body". It may refer to: Linguistics * Text corpus, in linguistics, a large and structured set of texts * Speech corpus, in linguistics, a large set of speech audio files * Corpus linguistics, a branch of linguistics Music * ''Corpus'' (album), by Sebastian Santa Maria * Corpus Delicti (band), also known simply as Corpus Medicine * Corpus callosum, a structure in the brain * Corpus cavernosum (other), a pair of structures in human genitals * Corpus luteum, a temporary endocrine structure in mammals * Corpus gastricum, the Latin term referring to the body of the stomach * Corpus alienum, a foreign object originating outside the body * Corpus albicans * Corpora amylacea * Corpora arenacea Surname * Victor Corpus (1944–2024), Filipino military officer and public official Other uses * ''Corpus'' (Bernini), a 1650 sculpture of Christ by Gian Lorenzo Bernini * Corpus (museum), a human body themed museum in the Netherland ...
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Computational Linguistics
Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others. Computational linguistics is closely related to mathematical linguistics. Origins The field overlapped with artificial intelligence since the efforts in the United States in the 1950s to use computers to automatically translate texts from foreign languages, particularly Russian scientific journals, into English. Since rule-based approaches were able to make arithmetic (systematic) calculations much faster and more accurately than humans, it was expected that lexicon, morphology, syntax and semantics can be learned using explicit rules, a ...
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Applied Linguistics
Applied linguistics is an interdisciplinary field which identifies, investigates, and offers solutions to language-related real-life problems. Some of the academic fields related to applied linguistics are education, psychology, Communication studies, communication research, information science, natural language processing, anthropology, and sociology. Applied linguistics is a practical use of language. Domain Applied linguistics is an interdisciplinary, interdisciplinary field. Major branches of applied linguistics include bilingualism and multilingualism, conversation analysis, contrastive linguistics, language assessment, literacy, literacies, discourse analysis, language pedagogy, second language acquisition, language planning and language policy, policy, interlinguistics, stylistics (literature), stylistics, language education, language teacher education, forensic linguistics, culinary linguistics, and translation. History The tradition of applied linguistics established ...
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Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent". Speech recognition applications include voice user interfaces ...
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American English
American English, sometimes called United States English or U.S. English, is the set of variety (linguistics), varieties of the English language native to the United States. English is the Languages of the United States, most widely spoken language in the United States and, since 2025, the official language of the United States. It is also an official language in 32 of the 50 U.S. states and the ''de facto'' common language used in government, education, and commerce in all 50 states, the District of Columbia, and in all territories except Puerto Rico. Since the late 20th century, American English has become the most influential form of English worldwide. Varieties of American English include many patterns of pronunciation, vocabulary, grammar, and particularly spelling that are unified nationwide but distinct from other forms of English around the world. Any North American English, American or Canadian accent perceived as lacking noticeably local, ethnic, or cultural markedness ...
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