Audio Classification
The process of classifying audio data into predefined classes or categories according to its attributes, content, or context is known as audio classification. In order to categorize the audio into distinct classes, machine learning or deep learning algorithms are used to analyze the features that were extracted from audio signals.
- Audio classification Model
- Applications of Audio Classification:
- Music genre classifier
- Filtering Abusive or Spam Audio
- Noise Reduction
- Evolutions metrics for Classification
Advanced Audio Processing and Recognition with Transformer
In this tutorial, we’ll look at the interesting topic of natural language processing (NLP) applied to audio data. We’ll utilize the Transformer and its capabilities to process and analyze audio files, extract important characteristics, and execute different natural language processing (NLP) operations on them.
Table of Content
- Advanced Audio Processing and Recognition with Transformer
- What is Audio Data?
- 1. Understand Audio Data & Preprocessing
- 2. Transformer for Audio
- 3. Audio Classification
- 4. Automatic Speech Recognition
- 5. Audio Summarization
- 6. Text to speech
- 7. Speech-to-speech
- Conclusions
- Frequently Asked Questions on Audio Processing and Recognition