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DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.

Ares stands for Aural RPG Experience System. It is used to create and play music lists, background sounds or special sound effects for different situations during (pen & paper) role-playing.

...This toolbox is written in C for Texas instrument OMAP-L138 DSP + ARMS9 Development Kit (TMDXLCDK138) and TI/ Digital Spectrum XDS100 14 Pin JTAG Emulator (TMDSEMU100V2U-14T) The readme file in the zip file has more details More details can be found in this paper: Mingfeng Zhang, John Granzow, Gang Ren, and Mark Bocko, “Timbre Imitation and Adaptation for Experimental Music Instruments: An Interactive Approach Using Real-Time Digital Signal Processing Framework”, Proceedings of the Audio Engineering Society (AES) 137th Convention, pp. 1- 8,Los Angeles, CA, Oct. 9-12, 2014.