# Speech and Language Recognition

## Computer Vision with CNNs

Content:\
Use of ``convolutional networks`` to solve more challenging ``image processing problems`` such as ``semantic segmentation`` and ``depth estimation``, use of ``regularisation methods`` in training.

Learning Objectives:\
The students know and use ``convolutional neural networks`` for common ``computer vision`` problems and 
are familiar with different strategies for ``data preprocessing``.

Link to the repository:\
Check out https://git.rz.tu-bs.de/ifn-public/ki4all/computer-vision-with-cnns or
```console
git clone https://git.rz.tu-bs.de/ifn-public/ki4all/computer-vision-with-cnns
```

Previous Microcredits: None

**Extent: 1.0 ECTS** \
**Responsible: IFN, TU BS**


## Speech Communication

Content:\
Use of ``recurrent neural networks`` to solve problems based on ``time series data``, application of concepts for ``automatic speech recognition``.

Learning Objectives:\
The students know and use different types of ``neural networks`` for problems in the field of ``time series processing``.

Link to the repository:\
Check out https://git.rz.tu-bs.de/ifn-public/ki4all/speech-communication or
```console
git clone https://git.rz.tu-bs.de/ifn-public/ki4all/speech-communication
```

Previous Microcredits: None

**Extent: 1.0 ECTS** \
**Responsible: IFN, TU BS**


## Spoken Language Processing 

Content:\
Use of ``recurrent neural networks`` for ``speech processing`` using the example of ``noise reduction``, application of concepts for noise reduction.

Learning Objectives:\
The students know and use different types of ``neural networks`` for problems in the field of ``time series processing``.

Link to the repository:\
Check out https://git.rz.tu-bs.de/ifn-public/ki4all/spoken-language-processing or
```console
git clone https://git.rz.tu-bs.de/ifn-public/ki4all/spoken-language-processing
```

Previous Microcredits: None

**Extent: 1.0 ECTS** \
**Responsible: IFN, TU BS**