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Tutorial 0 :: Speech recognition on the edge :: From Empowerment to voice-shell halt in less than 10 steps

🌐 public · created AE520907 (07.09.2022) · by DDH · open in the standard editor view · 📽 open as presentation

During this tutorial, participants will be introduced to diverse ways how speech-to-text (STT) inferences can be realized on non-cloud, local (i.e. edge-computing) architectures. Participants will acquire knowledge and competence concerning intricacies and nuances of execution of two different types of ASR systems (DeepSpeech and Random Forests) on three different hardware architectures (e.g. RaspberryPiZero (armv6); RaspberryPi 4 (armv7 without CUDA) and NVIDIA Jetson Xavier (armv8 / aarch64 with CUDA). Thus, in 90 minutes of a hands-on tutorial participants will acquire practical know-how about how to transform all three hardware platforms into a low-cost local STT inference engine.

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DDH/ older Presentations/ TSD2022/ Tutorial 0 :: Speech recognition on the edge :: From Empowerment to voice-shell halt in less than 10 steps

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  • Tutorial 0 :: Speech recognition on the edge :: From Empowerment to voice-shell halt in less than 10 steps
    During this tutorial, participants will be introduced to diverse ways how speech-to-text (STT) inferences can be realized on non-cloud, local (i.e. edge-computi
    • is_parent One Goal
      Mündigkeit
      • is_parent Personal Primer
        Personal Primer (is a physical, do-it-yourself (DIY) book-like (embooked) Bildunginstrument for fostering of reading skills in younger pupils and informatic ski
      • is_parent fibel.digital ·
        Web Primer allows wider public to benefit from our growing collection of open educational resources (OERs) without necessity to build a physical Primer. Fronten
    • is_parent Edge Computing ·
      Edge computing is a computing paradigm that brings computation and data storage closer to the sources of data. Edge computing concentrates on servers "in proxim
    • is_parent Raspberry Pi 4
      full-fledged universal turing machine :: 1.5 GHz 64-bit quad core ARM Cortex-A72 processor, on-board 802.11ac Wi-Fi, Bluetooth 5, full gigabit Ethernet, two USB
    • is_parent Speech recognition ·
      Dramatis personae: https://github.com/mozilla/DeepSpeech https://github.com/coqui-ai/STT https://coqui.ai/models https://gitlab.com/Jaco-Assistant/Scribosermo Q
    • is_parent NVIDIA Jetson Xavier
      8-core ARM v8.2 64-bit CPU (aarch64) ; 32 GB RAM; 512-core Volta GPU with Tensor Cores CUDA-support every now, NVIDIA releases an debian-based package (i.e
    • is_parent Raspberry Pi Zero ·
      the least efficient (1 - 3 Watts...) universal turing machine out there armv6 1GHz 512 GB RAM
    • is_parent Time for a little nerdy exercise... ·
      Please connect to Hotspot FibelNetpassword: cirrostratusthen try to connect to one two Pi4s we made available for Youssh demo-tutorial@tutorial0.localor ss
    • is_parent ...exercise for non-nerds ·
      Please create a list of 10-50 tokens relevant to Your domain of interest and mail them to daniel@udk-berlin.de and hjk@udk-berlin.de , we will create You a micr
    • is_parent scorers, parameters, commands ·
      Let's load some new scorers and see how systems perform.
    • is_parent halt ·
      please turn off tutorial raspberrys with a voiceshell command "halt"
    • is_parent discussion & ... ·
      Hope You liked it and let's stay in touchDaniel & Hyungjoong daniel@udk-berlin.de hjk@udk-berlin.de@DigiEduBerlinhttps://github.com/hromi/lesen-mikrose
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