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However an expert in speech recognition told the BBC this explanation was "just not plausible."

"We are aware of an issue with the speech recognition model that powers Dictation and we are rolling out a fix today," an Apple spokesperson said.

This dataset was analyzed using an Automatic Speech Recognition model, technology that converts speech into text, for transcription.

Several metrics, such as �������t¶�� Error Rate and Character Error Rate, were used to evaluate the quality of the speech recognition.

One, which is where SpiNNcloud is focused, is in providing a more energy efficient and higher performance platform for AI applications – including image and video analysis, speech recognition and the large-language models that power chatbots such as ChatGPT.