y, sr = librosa.load('speechdft-16-8-mono-5secs.wav', sr=16000)
The filename follows a structured pattern often used in machine learning datasets or software testing environments: [Source/Type]-[SampleRate]-[BitDepth]-[Channels]-[Duration].[Extension] . Let's break down exactly what tells us. speechdft-16-8-mono-5secs.wav
: Indicates a sampling rate of 8 kilohertz (kHz). This is standard telephone-quality audio, adhering to the Nyquist-Shannon sampling theorem by effectively capturing frequencies up to 4 kHz—perfectly mapping the fundamental frequencies of the human voice. y, sr = librosa
The primary environment where this file is used is the MathWorks Audio Toolbox. The following code snippet shows how to load and analyze this file, as documented in the Audio Toolbox User's Guide: sr = librosa.load('speechdft-16-8-mono-5secs.wav'