Speech Enhancement
AI Infrastructure
Visual representation and analysis of the spectrum of frequencies in a signal over time.
Detailed Explanation
Spectrogram Analysis involves visualizing the frequency components of a signal over time using a spectrogram, which displays how the spectral density varies. It is essential in AI infrastructure for tasks like speech recognition, audio classification, and signal processing, helping algorithms interpret complex sound patterns by providing a time-frequency representation that reveals hidden structures in audio data.
Use Cases
- •Use case: Enhancing speech recognition accuracy by analyzing frequency patterns over time in noisy environments.
Related Terms
Other terms in the AI Infrastructure category