huckiyang/QuantumSpeech-QCNN

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

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This project offers a quantum deep learning approach for processing spoken words, specifically for automatic spoken-term recognition. It takes audio recordings of speech commands as input and classifies them into predefined terms, which is useful for developing voice-controlled interfaces or analyzing spoken data. Scientists and researchers in speech processing or quantum machine learning would use this to explore advanced recognition techniques.

107 stars. No commits in the last 6 months.

Use this if you are a researcher in speech recognition or quantum machine learning looking to experiment with quantum convolutional neural networks for spoken-term recognition.

Not ideal if you are a practitioner looking for a ready-to-deploy, high-performance automatic speech recognition system for general-purpose applications.

automatic-speech-recognition speech-processing quantum-machine-learning signal-processing spoken-term-recognition
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 18 / 25

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Last pushed

Jan 22, 2023

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