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Training DeepSpeech using TorchElastic | by Sean Narenthiran | PyTorch | Medium
YouTube, Deepspeech, with Google Colaboratory [testing_0003] - Qiita
deepspeech-playbook | A crash course for training speech recognition models using DeepSpeech.
DeepSpeech 0.6: Mozilla's Speech-to-Text Engine Gets Fast, Lean, and Ubiquitous - Mozilla Hacks - the Web developer blog
GitHub - mozilla/DeepSpeech: 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 does not seem to use gpu while training, however does use it when using native-client - DeepSpeech - Mozilla Discourse
multi gpu · Issue #2314 · mozilla/DeepSpeech · GitHub
DeepSpeech2 — OpenSeq2Seq 0.2 documentation
Jump-start Training for Speech Recognition Models in Different Languages with NVIDIA NeMo | NVIDIA Technical Blog
Free GPU training with DeepSpeech on Paperspace | by uberj | Medium
Parallel Optimization — Mozilla DeepSpeech 0.9.3 documentation
Develop Smaller Speech Recognition Models with NVIDIA's NeMo Framework | NVIDIA Technical Blog
Mozilla DeepSpeech Installation Guide | by Alexis | Medium
Speech Recognition with Python
Performance Prediction of GPU-based Deep Learning Applications
Offline Speech Recognition on Raspberry Pi 4 with Respeaker - Hackster.io
GPU inference time too slow · Issue #2292 · mozilla/DeepSpeech · GitHub
GPU FP32 utilization for different models on multiple mini-batch sizes. | Download Scientific Diagram
DeepSpeech download | SourceForge.net
Offline Speech Recognition on Raspberry Pi 4 with Respeaker - Latest Open Tech From Seeed
P] Deepspeech streaming to serverless GPUs : r/MachineLearning