Industry Consumer Goods and Retail, Hi-Tech
Specialization Or Business Function Consumer Experience
Technical Function Analytics (Natural Language Processing, Deep Learning, Artificial Intelligence), Internet of Things, Speech and Voice Analytics (Speech-to-Text Transcription, Speaker Separation, Voice Biometrics)
Technology & Tools Programming Languages and Frameworks (Python), Machine Learning Frameworks (TensorFlow, Scikit-learn, DeepLearning)
I am working on a project (detailed in attached product summary and AI Development tasks) that utilizes speech to text with DeepSpeech, speaker identification, and Named Entity Recognition. While training can be done on AWS or another cloud provider, these tasks must all be done locally on the embedded linux device. As a software developer, I've implemented a few of these a-la-carte but am looking for someone with more expertise in deep learning and voice technology to take this to the next level.
The scope of the first part of this project is defined in the file "AI Development Tasks" and should be completed in 3-4 weeks. Future product scope will be defined around week 3 but is expected to last quite longer.
Current Technology Stack: Python 3, DeepSpeech, Embedded Linux
Expertise needed: Deep learning, DeepSpeech, tensor flow, python 3, Python open source, NumPy. Voice/Speech Recognition. Understanding of how to optimize code for minimal power consumption on embedded linux is a plus.
In your proposal please share more details on your expertise with voice recognition.
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