Speaker recognition based on deep learning an overview

1. What is deep learning in speech recognition?
2. Does voice recognition use deep learning?
3. What are the four different ways to perform speaker recognition?
4. What is audio diarization?

What is deep learning in speech recognition?

Deep Learning in Production Book 📘 Humans communicate preferably through speech using the same language. Speech recognition can be defined as the ability to understand the spoken words of the person speaking. Automatic speech recognition (ASR) refers to the task of recognizing human speech and translating it into text.

Does voice recognition use deep learning?

Speech recognition algorithms can be implemented in a traditional way using statistical algorithms or by using deep learning techniques such as neural networks to convert speech into text.

What are the four different ways to perform speaker recognition?

Speaker recognition is a pattern recognition problem. The various technologies used to process and store voice prints include frequency estimation, hidden Markov models, Gaussian mixture models, pattern matching algorithms, neural networks, matrix representation, vector quantization and decision trees.

What is audio diarization?

Speaker diarisation (or diarization) is the process of partitioning an audio stream containing human speech into homogeneous segments according to the identity of each speaker.