Speech Pattern

Speech pattern analysis focuses on understanding and modeling the diverse characteristics of human speech, aiming to improve automatic speech recognition (ASR) and enable applications in healthcare and beyond. Current research emphasizes developing robust ASR models that accurately transcribe disordered speech, including those with stuttering or neuropsychiatric conditions, using techniques like transformer networks and machine learning algorithms to extract relevant features from speech signals. This work is crucial for improving accessibility of technology for individuals with communication challenges and for developing diagnostic tools for various conditions based on subtle variations in speech patterns.