ASR Evaluation Metrics

ASR (Automatic Speech Recognition) evaluation metrics measure how accurately a computer transcribes spoken language into text. The most common metric is Word Error Rate (WER), which calculates the percentage of words incorrectly recognized, including mistakes such as missed words, wrong words, or extra words. A lower WER indicates better performance. These metrics help developers assess and improve speech recognition systems, ensuring they understand and process spoken language effectively in real-world applications.