Speech Recognition, AI, Machine Learning, NLP.
just multiplying 100 to it. For example, a WER of 0.15 might also be represented as 15%. WER is important because it provides: Performance Measure: It gives an objective measure of how well an ASR system is transcribing speech into text. Comparison: It allows for comparison between different ASR