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  2. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]

  3. Google APIs - Wikipedia

    en.wikipedia.org/wiki/Google_APIs

    The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [1] Places API [2] or Google Earth API. [3]

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    A single-speaker, Modern Standard Arabic (MSA) speech corpus with phonetic and orthographic transcripts aligned to phoneme level. Speech is orthographically and phonetically transcribed with stress marks. ~1900 Text, WAV Speech Synthesis, Speech Recognition, Corpus Alignment, Speech Therapy, Education. 2016 [134] N. Halabi Common Voice

  5. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Speech recognition functionality included as part of Microsoft Office and on Tablet PCs running Microsoft Windows XP Tablet PC Edition. It can also be downloaded as part of the Speech SDK 5.1 for Windows applications, but since that is aimed at developers building speech applications, the pure SDK form lacks any user interface (numerous ...

  6. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/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).

  7. Project IDX - Wikipedia

    en.wikipedia.org/wiki/Project_IDX

    Project IDX is an online integrated development environment (IDE) developed by Google. [2] It is based on Visual Studio Code, and the infrastructure runs on Google Cloud. In addition to including the features, languages and plugins supported by VS Code, it has unique functionality built by Google.

  8. Word error rate - Wikipedia

    en.wikipedia.org/wiki/Word_error_rate

    When reporting the performance of a speech recognition system, sometimes word accuracy (WAcc) is used instead: = ...

  9. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    With James H. Martin, he wrote the textbook Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics; Roger Schank – introduced the conceptual dependency theory for natural-language understanding. [23] Jean E. Fox Tree – Alan Turing – originator of the Turing Test.