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- '''[[Tools and Software for English]] - Speech''' ==Text to speech software==1 KB (164 words) - 19:39, 8 October 2013
- #REDIRECT [[Speech software]]29 bytes (3 words) - 11:05, 8 November 2006
- '''Part-of-speech tagging''' is the task of assigning a part-of-speech tag to each word in a given text.2 KB (357 words) - 18:36, 8 October 2013
Page text matches
- '''[[Tools and Software for English]] - Speech''' ==Text to speech software==1 KB (164 words) - 19:39, 8 October 2013
- ...iations and the way to model them to improve speech recognition or text-to-speech systems.412 bytes (64 words) - 22:46, 3 April 2019
- ==Part-of-speech tagging==542 bytes (64 words) - 08:28, 29 July 2009
- ==Speech Synthesis== * http://search.corpus.tatar/search/sintez_en.html Online Text-To-Speech system for Tatar language923 bytes (118 words) - 12:34, 27 April 2016
- ...ests: Intonational phonology, Computational Phonology, Speech Recognition, Speech Perception, Computational Linguistics, Natural Language Processing459 bytes (52 words) - 08:44, 9 August 2015
- ...ects of signal processing field. My expertise is on speech enhancement and speech recognition domain.356 bytes (58 words) - 10:15, 19 March 2016
- ==Part-of-speech tagging==786 bytes (94 words) - 14:35, 26 March 2019
- ...l language processing, online advertising, machine learning, and speech-to-speech conversational systems.515 bytes (70 words) - 12:53, 1 October 2020
- ...Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition.565 bytes (80 words) - 12:47, 14 November 2022
- ...ests focus on linguistic sensing and language-inclusive sensing with text, speech, and multimodal data. RIT's Computational Linguistics and Speech Processing Lab: www.rit.edu/clasp.478 bytes (71 words) - 19:37, 16 November 2017
- I teach text processing with Python and speech processing with an assortment of software tools.95 bytes (15 words) - 16:34, 30 October 2023
- ...ediction and finally Waveform generation (discrete=>continuous, Backend is Speech) ...nge of Natural Language Processing (NLP), Text-to-Speech (TTS) & Automatic Speech Recognition (ASR), Problem's2 KB (257 words) - 13:53, 18 November 2019
- ...disorder manage misunderstandings, and building tools, based on automatic speech recognition, that can assist clinicians in treating people who stutter.703 bytes (98 words) - 23:02, 31 October 2014
- ;[http://nlp.postech.ac.kr/ Part of Speech Tagger for Korean]249 bytes (35 words) - 08:28, 5 September 2019
- ...combining machine learning techniques with knowledge from linguistics and speech science.609 bytes (90 words) - 06:23, 3 May 2014
- ...emi-supervised learning, information extraction, large-scale learning, and speech processing. His recent work includes health information applications, inclu707 bytes (96 words) - 23:15, 1 March 2016
- Yanze Xu is a phd student in the centre of vision, speech, and signal processing at the university of Surrey. His research insterest174 bytes (27 words) - 11:02, 18 September 2022
- *[http://www.isca-students.org International Speech Communication Association (ISCA) student committee resource listings] ...//www.cs.technion.ac.il/~gabr/resources/resources.html Resources for Text, Speech and Language Processing]2 KB (305 words) - 00:23, 13 February 2007
- PhD in NLP, Natural language understanding, speech recognition, Spoken language understanding126 bytes (15 words) - 22:08, 30 August 2021
- == NAACL HLT Workshop on Designing Speech and Language Interactions 2014 == Speech and natural language remain our most natural forms of interaction; yet the4 KB (574 words) - 17:16, 8 January 2014