HMM-DNN-Speech-Recognition: HMM-DNN 网络（语音识别）该存储库是 HMM-DNN 模型的 Python 实现，该模型是语音识别中的深度学习模型。首先，我们使用 HMM-GMM 模型来标记现有的语音数据。然后，我们将使用这些标记数据来训练 HMM-DNN 模型。此外，我们使用 MLP 作为模型的 DNN 部分。

# HMM-DNN Network (Speech-Recognition)

This repository is a Python implementation for HMM-DNN model which is a deep learning model in speech recognition. First, we use HMM-GMM model for labeling an existing speech data. Then, we would use this labeled data for training the HMM-DNN model. Also, we use MLP as for the DNN part of the model.

## Getting Started

### Installation

Clone the program.

`git clone https://github.com/raminnakhli/HMM-DNN-Speech-Recognition.git`

### Prerequisites

The requirements are some common packages in machine learning. You can install them using below command.

`pip install -r requirement.txt`

### Data Set

We use an Arabic speech dataset which is available on https://archive.ics.uci.edu/ml/datasets/Spoken+Arabic+Digit. For cloning the dataset, you can use the `download_data.sh` file. This file creates a data directory and downloads the dataset in it.

## Execution

Now, you can run the model with default configuration using the below command.

`python main.py`

## Contact

Ramin Ebrahim Nakhli - raminnakhli@gmail.com

Project Link: https://github.com/raminnakhli/HMM-DNN-Speech-Recognition

IT自学吧/HMM-DNN-Speech-Recognition

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