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[ | |
{ | |
"question": "When was the concept of Speech Recognition first introduced?", | |
"options": [ | |
"1920s", | |
"1940s", | |
"1960s", | |
"1980s" | |
], | |
"answer": "1960s" | |
}, | |
{ | |
"question": "What is Speech Recognition?", | |
"options": [ | |
"The ability to understand and interpret spoken language by computers", | |
"The ability to recognize different accents and dialects", | |
"The ability to convert written text into spoken words", | |
"The ability to analyze the rhythm and intonation of speech" | |
], | |
"answer": "The ability to understand and interpret spoken language by computers" | |
}, | |
{ | |
"question": "What are some common use cases of Speech Recognition technology?", | |
"options": [ | |
"Voice assistants", | |
"Transcription services", | |
"Call center automation", | |
"All of the above" | |
], | |
"answer": "All of the above" | |
}, | |
{ | |
"question": "What is the purpose of OpenAI's Whisper?", | |
"options": [ | |
"To improve automatic speech recognition systems", | |
"To develop natural language processing algorithms", | |
"To create voice synthesis models", | |
"To enhance text-to-speech capabilities" | |
], | |
"answer": "To improve automatic speech recognition systems" | |
}, | |
{ | |
"question": "Which programming language is commonly used in developing Speech Recognition applications?", | |
"options": [ | |
"Python", | |
"Java", | |
"C++", | |
"JavaScript" | |
], | |
"answer": "Python" | |
}, | |
{ | |
"question": "What are the challenges faced by Speech Recognition systems?", | |
"options": [ | |
"Background noise", | |
"Accents and dialects", | |
"Speech disorders", | |
"All of the above" | |
], | |
"answer": "All of the above" | |
}, | |
{ | |
"question": "What is the difference between automatic and interactive Speech Recognition?", | |
"options": [ | |
"Automatic Speech Recognition requires pre-recorded speech, while interactive Speech Recognition can process real-time speech", | |
"Automatic Speech Recognition focuses on recognizing individual words, while interactive Speech Recognition understands the context of the speech", | |
"Automatic Speech Recognition is used in voice assistants, while interactive Speech Recognition is used in transcription services", | |
"There is no difference between automatic and interactive Speech Recognition" | |
], | |
"answer": "Automatic Speech Recognition requires pre-recorded speech, while interactive Speech Recognition can process real-time speech" | |
}, | |
{ | |
"question": "Which company developed the first practical speech recognition system?", | |
"options": [ | |
"IBM", | |
"Microsoft", | |
"Apple", | |
"Google" | |
], | |
"answer": "IBM" | |
}, | |
{ | |
"question": "What is the primary technology behind modern Speech Recognition systems?", | |
"options": [ | |
"Hidden Markov Models (HMMs)", | |
"Recurrent Neural Networks (RNNs)", | |
"Support Vector Machines (SVMs)", | |
"Convolutional Neural Networks (CNNs)" | |
], | |
"answer": "Recurrent Neural Networks (RNNs)" | |
}, | |
{ | |
"question": "What is the role of language models in Speech Recognition?", | |
"options": [ | |
"To convert spoken words into written text", | |
"To analyze the sentiment of the speech", | |
"To improve the accuracy and context understanding of Speech Recognition systems", | |
"To identify specific speech patterns and accents" | |
], | |
"answer": "To improve the accuracy and context understanding of Speech Recognition systems" | |
} | |
] |