Automatic Speech Recognition
Automatic Speech Recognition (ASR), also known as speech-to-text or voice recognition, is the process of converting spoken language into text. It involves the analysis of audio signals containing human speech and the transcription of the spoken words into written text. ASR systems use various techniques from signal processing, machine learning, and natural language processing to achieve accurate transcription of speech.
- Automatic speech recognition Model
- Evaluation metrics for (Automatic Speech Recognition ) ASR
- Applications of Automatic Speech Recognition
- Video Captions Generator
- Voice Search
- Personal Assistants with Voice Commands
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