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[ | |
{ | |
"question": "Which of the following best describes speech recognition?", | |
"options": [ | |
"Teaching computers to understand human speech", | |
"Teaching humans to understand computer languages", | |
"Teaching computers to write code", | |
"Teaching humans to speak multiple languages" | |
], | |
"answer": "Teaching computers to understand human speech" | |
}, | |
{ | |
"question": "What is one of the popular applications of speech recognition?", | |
"options": [ | |
"Facial recognition", | |
"Virtual reality gaming", | |
"Voice assistants", | |
"Emotion detection" | |
], | |
"answer": "Voice assistants" | |
}, | |
{ | |
"question": "Which decade saw the introduction of Hidden Markov Models (HMMs) in speech recognition?", | |
"options": [ | |
"1960s", | |
"1970s", | |
"1980s", | |
"1990s" | |
], | |
"answer": "1980s" | |
}, | |
{ | |
"question": "What was the purpose of the DARPA challenges in speech recognition?", | |
"options": [ | |
"To promote research and advancements in the field", | |
"To train voice assistants", | |
"To improve internet connectivity", | |
"To develop social media platforms" | |
], | |
"answer": "To promote research and advancements in the field" | |
}, | |
{ | |
"question": "What role did neural networks play in speech recognition?", | |
"options": [ | |
"They helped in translating spoken language", | |
"They allowed for automatic extraction of features from speech data", | |
"They facilitated handwriting recognition", | |
"They improved internet security" | |
], | |
"answer": "They allowed for automatic extraction of features from speech data" | |
}, | |
{ | |
"question": "Which popular voice assistant was introduced in 2011?", | |
"options": [ | |
"Siri", | |
"Alexa", | |
"Cortana", | |
"Google Assistant" | |
], | |
"answer": "Siri" | |
}, | |
{ | |
"question": "What recent advancements have contributed to the improvement of speech recognition?", | |
"options": [ | |
"Neural networks and deep learning", | |
"Augmented reality technology", | |
"Quantum computing", | |
"Robotics" | |
], | |
"answer": "Neural networks and deep learning" | |
}, | |
{ | |
"question": "In which field is speech recognition commonly used to convert spoken words into written text?", | |
"options": [ | |
"Medical diagnosis", | |
"Automotive engineering", | |
"Transcription services", | |
"Space exploration" | |
], | |
"answer": "Transcription services" | |
}, | |
{ | |
"question": "How does speech recognition technology benefit individuals with disabilities?", | |
"options": [ | |
"It helps improve memory and cognitive skills", | |
"It enables them to interact with technology through voice commands", | |
"It provides physical therapy", | |
"It helps improve vision and hearing abilities" | |
], | |
"answer": "It enables them to interact with technology through voice commands" | |
}, | |
{ | |
"question": "Which speech recognition system developed by OpenAI is known for its state-of-the-art performance?", | |
"options": [ | |
"Whisper", | |
"Roomba", | |
"Siri", | |
"Echo" | |
], | |
"answer": "Whisper" | |
} | |
] |