Feature Request: Integrate different Digital Signal Processing into tf.signal
Triage Notes:
I was able to reproduce the issue on tensorflow [v2.15](https://colab.research.google.com/gist/tilakrayal/88cef6ca49b51fb7907cb70636886284/julius4tensorflow.ipynb) and [2.16](https://colab.research.google.com/gist/tilakrayal/ea3c49cb16275387f510a6e844b15566/julius4tensorflow.ipynb). Kindly find the gist of it here.
### Issue type

Feature Request

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.15

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Currently, TensorFlow offers a range of signal processing functions under tf.signal, but there's a noticeable gap in advanced audio data augmentation functionalities directly comparable to those available in the PyTorch ecosystem, particularly in the [julius](https://github.com/adefossez/julius/) library.

The julius library provides a suite of efficient DSP operations. These are crucial for building robust audio recognition and processing models, as they allow for the creation of diverse training datasets, enhancing model generalization.

Integrating similar functionalities into the TensorFlow ecosystem would greatly benefit researchers and developers working on audio-related projects by providing them with native tools for complex audio data augmentation. This integration would streamline workflows, allowing for seamless data preprocessing and augmentation within TensorFlow, thereby reducing the need for external libraries or frameworks and ensuring compatibility and performance optimization.

It would be great to have a similar library as julius to be supported in tf.signal. Would that make sense? 
I made a small notebook to implement a function similar to https://github.com/adefossez/julius/blob/main/julius/lowpass.py

https://colab.research.google.com/drive/1lxM0wDbmWIFMOGpT_gRNz_5Ug-e1vNbr#scrollTo=QuEOc3zUnSHX



### Relevant log output

_No response_