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National Language Authority in Pakistan has been at the forefront in introducing Urdu Informatics as a tool for the standardisation of Urdu language. [1] Major steps in this respect include the development of Urdu keyboard and launching of software to automate translations between Urdu and English languages .
Free and open-source software portal; Open-source software Urdu localization was initiated by the Center for Research in Urdu Language Processing (CRULP) at the National University of Computer and Emerging Sciences, through its PAN Localization Project, funded by IDRC in Canada. The localization of the following open source software is in progress:
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]
Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.
List of PO file editors/translator (in no particular order): XEmacs (with po-mode): runs on Unices with X; GNU Emacs (with po-mode): runs on Unices and Windows; poEdit: Linux, Mac OS X, and Windows poEdit does support multiple plural forms since version 1.3..
NeoSpeech Inc. was an American company that specialized in text-to-speech (TTS) software for embedded devices, mobile, desktop, and network/server applications.NeoSpeech was founded by two speech engineers, Lin Chase and Yoon Kim, in Fremont, California, US, in 2002.
New software-as-a-service and cloud computing models use artificial intelligence, machine learning and natural language processing to convert speech to text and continuously learn new phrases and accents. [3] AI transcription can, however, lead to hallucinations and other errors. [4] [5] [6] [7]
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