What does "Frame Classification" mean?

Table of Contents

Frame classification is a method used in speech processing to identify and label small segments of audio. Each segment, or frame, represents a brief moment in time. By analyzing these frames, we can determine where words and sounds occur in spoken language.

In speech technology, frame classification helps machines break down speech into parts they can recognize. This is important for tasks like converting spoken words into text or understanding how speech sounds are formed.

The process involves training models on a lot of speech data so they can learn patterns in the sound. Once trained, these models can take new audio input and quickly classify the frames, identifying word boundaries and phonemes. This allows for more accurate speech recognition and understanding.

Frame classification is useful in various applications, from voice assistants to language learning tools, making it a key technique in improving how we interact with spoken language through technology.