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TIMIT

TIMIT

TIMIT is a corpus of phonemically and lexically transcribed speech of American English speakers of different sexes and dialects. Each transcribed element

ARPABET

CMU Pronouncing Dictionary. A revised version of ARPABET is used in the TIMIT corpus. Stress is indicated by a digit immediately following a vowel. Auxiliary

Deep learning

and generative models. In 2010, researchers extended deep learning from TIMIT to large vocabulary speech recognition, by adopting large output layers

WaveSurfer

transcription file formats used in industrial speech research including TIMIT. WaveSurfer is free software, distributed under a permissive free software

HTK (software)

recognition software HTK Page in Cambridge University optimizing HTK features using the TIMIT speech corpus (source code[permanent dead link]) v t e v t e

Victor Zue

for Computer Science. During this time, he helped lead development of the TIMIT Acoustic-Phonetic Continuous Speech Corpus. Zue collaborates with and is

Quia timet

timet (Latin for 'because he fears'; pronounced [/ˈkwiːə ˈtɪmɛt/ or /ˈkwiə ˈtɪmᵻt/]), is a common law injunction to restrain wrongful acts which are threatened

Long short-term memory

network that achieved a record 17.7% phoneme error rate on the classic TIMIT natural speech dataset. 2017: Researchers from Michigan State University

Corpus of Contemporary American English

Corpus PropBank Spoken English Corpus Switchboard Telephone Speech Corpus TIMIT VerbNet Wellington Corpus of Spoken New Zealand English Text corpora, non-English

Outline of machine learning

Synchronous context-free grammar Syntactic pattern recognition TD-Gammon TIMIT Teaching dimension Teuvo Kohonen Textual case-based reasoning Theory of