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kaldi-asr/kaldi is the official location of the Kaldi project
...It includes extensive tools for data preparation, feature extraction, acoustic and language modeling, decoding, and evaluation. With its modular design, Kaldi allows users to adapt the system to a wide range of languages and domains. As one of the most influential projects in speech recognition, it has become a foundation for much of the modern work in ASR.
SpeechBrain is an open-source and all-in-one conversational AI toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains. SpeechBrain supports state-of-the-art methods for end-to-end speech recognition, including models based on CTC, CTC+attention, transducers, transformers, and neural language models relying on recurrent neural networks and transformers. Speaker recognition is already deployed in a...
...The voice control program MiceStTM.py was developed to enable easy adaptation to other languages. However, only German settings are currently implemented.
category: System commands
comment: Screen grid
trigger: Display screen (Ras.*|Grid)*
terminal_command: /opt/micesttm/read-aloud/screen_grid.py & sleep 1 && xdotool search --name "screen grid" windowactivate
intern_command:
tts: Screen grid for the mouse click was selected.
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MedicalRecords is an integrated medical information system.
...Documents can be entered by scanning to PDF files or other formats. Finally, information may be entered through use of speech recognition or typing.
“MedicalRecords” gives one or more patients access to an integrated medical record the data in which may come from a variety of sources. It also provides an easy means for presenting the integrated data to specialist or other new care provider, emergency room staff or admitting physicians.
Collaborative development and distribution of Windows Speech Recognition (WSR) application macros to 1) improve the accessibility of personal computing for impaired users, and 2) improve the efficiency of personal computing for all users.
Developpement of speech recognition software and libraries for the linux system.
Should allow evryone to integrate speech recognition in his software very easily.