Logan Hart

Deep Learning Data Engineer - TTS

Earth, Texas, United States
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Summary

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Logan Hart is a Deep Learning Data Engineer specializing in text-to-speech (TTS) with four years of hands-on experience building audio and speech datasets and integrating models into open-source TTS tooling. Currently at Cantina Labs, he focuses on scaling and curating high-quality speech data, having previously led data efforts and contributed to TTS research at Coqui. His background in computer science and engineering physics gives him a strong foundation in both algorithmic thinking and signal-aware data processing. Known for turning experimental models into usable pipelines, he blends research-oriented curiosity with practical engineering to ship reproducible, production-ready datasets and tools.
code4 years of coding experience
job1 year of employment as a software developer
bookComputer Science and Engineering Physics, Computer Science and Engineering Physics at Northern Kentucky University
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (20)

speech-to-text10
pytorch10
trainer10
python10
speech-recognition-api10
voice-recognition10
text-to-speech10
voice-conversion10
speech-synthesis10
automatic-speech-recognition10
deep-learning10
vocoder10
speech10
asr10
speech-recognition10

Programming languages (2)

C++Python

Github contributions (5)

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loganhart420/STT

Jul 2021 - Apr 2022

🐸STT - a deep learning toolkit for Speech-to-Text, battle-tested in research and production
Contributions:5 pushes in 9 months
pytorchdeep-learningspeech-to-textbattlebattle-tested
Contributions:30 pushes, 6 branches in 1 month
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Logan Hart - Deep Learning Data Engineer - TTS