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2. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   To develop its speech transcription technology, the company says it combined deep machine learning using millions of hours of audio recordings, which were analyzed to train the software and improve the transcription capabilities. The company says that it uses proprietary algorithms to scour the web for these usable audio segments.

3. 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]

4. Live Transcribe - Wikipedia

   en.wikipedia.org/wiki/Live_Transcribe

   Live Transcribe is a smartphone application to get realtime captions developed by Google for the Android operating system. Development on the application began in partnership with Gallaudet University. [2] It was publicly released as a free beta for Android 5.0+ on the Google Play Store on February 4, 2019. [3]

5. Transcription software - Wikipedia

   en.wikipedia.org/wiki/Transcription_software

   Transcription software, as with transcription services, is often provided for business, legal, or medical purposes. Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions .

6. Teeline shorthand - Wikipedia

   en.wikipedia.org/wiki/Teeline_Shorthand

   Teeline shorthand is a streamlined way to transcribe the spoken word quickly by removing unnecessary letters from words and making the letters themselves faster to write. [2] Vowels are often removed when they are not the first or last letter of a word, and silent letters are also ignored. [ 2 ]

7. Common Voice - Wikipedia

   en.wikipedia.org/wiki/Common_Voice

   Common Voice is a crowdsourcing project started by Mozilla to create a free database for speech recognition software. The project is supported by volunteers who record sample sentences with a microphone and review recordings of other users. The transcribed sentences are collected in a voice database available under the public domain license CC0 ...