Python Co-Execution for AI Speech Command Recognition

PyTorch and TensorFlow Co-Execution for Speech Command Recognition
다운로드 수: 111
업데이트 날짜: 2021/8/25

PyTorch and TensorFlow Co-Execution for Training a Speech Command Recognition System

This repo provides examples of co-executing MATLAB® with TensorFlow and PyTorch to train a speech command recognition system.

Interop image

Signal processing engineers that use Python to design and train deep learning models are still likely to find MATLAB® useful for tasks such as dataset curation, signal pre-processing, data synthesis, data augmentation, and feature extraction. Open-source alternatives exist for those tasks and they could be OK to use when replicating a pre-existing model or training recipe. However, for original technical development work, most users find those tasks easier in MATLAB®.

Creator: MathWorks® Development


To accelerate training, a GPU and the following toolbox is recommended:

This repo includes two co-execution examples, with additional requirements.



Get Started

See SetupNotes.mlx for setup instructions for both examples included with this repo.

There are two high-level examples in this repo.

Call MATLAB from Python

CallMATLABFromPythonPytorch.mlx - In this example, Python™ is your main environment. You call into MATLAB® to perform dataset management and audio feature extraction.

Call MATLAB from Python image

Call Python from MATLAB

CallPythonTensorFlowFromMATLAB.mlx - In this example, MATLAB® is your main environment. The dataset management, audio feature extraction, training loop, and evaluation happen in MATLAB®. The deep learning network is defined and executed in Python™.

Call Python from MATLAB image


The license is available in the License file in this repository.

인용 양식

MathWorks Audio Toolbox Team (2024). Python Co-Execution for AI Speech Command Recognition (, GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2021a
R2021a 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
태그 태그 추가

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.