The landscape of DataScience is changing everyday. In the last few years we have seen numerous number of research and advancement in NLP and Computer Vision field. But there is a field which is still unexplored and has a lot of potential , the field is — SPEECH.
In the last tutorial we have learned about:
- What is a Sound wave?
2. The basic properties of sound wave
3. Feature Extraction from sound wave
4. Pre-Processing a sound wave
In this tutorial we would be looking into the practical application of it in Python. The two most popular libraries to help you in your journey are:
- Librosa
- TorchAudio
TorchAudio — It is a PyTorch domain library consisting of I/O, popular datasets and common audio transformations that can bring new speed and efficiency to your PyTorch projects. It is one of the powerful speech modulation software created by Facebook.
#speech-analytics #speech-recognition #machine-learning-ai #pytorch #speech #ai
