Update assets/quiz.json

assets/quiz.json

@@ -1,102 +1,102 @@
 [
     {
-        "question": "Which of the following best describes speech recognition?",
+        "question": "When was the concept of Speech Recognition first introduced?",
         "options": [
-            "Teaching computers to understand human speech",
-            "Teaching humans to understand computer languages",
-            "Teaching computers to write code",
-            "Teaching humans to speak multiple languages"
+            "1920s",
+            "1940s",
+            "1960s",
+            "1980s"
         ],
-        "answer": "Teaching computers to understand human speech"
+        "answer": "1960s"
     },
     {
-        "question": "What is one of the popular applications of speech recognition?",
+        "question": "What is Speech Recognition?",
         "options": [
-            "Facial recognition",
-            "Virtual reality gaming",
-            "Voice assistants",
-            "Emotion detection"
+            "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": "Voice assistants"
+        "answer": "The ability to understand and interpret spoken language by computers"
     },
     {
-        "question": "Which decade saw the introduction of Hidden Markov Models (HMMs) in speech recognition?",
+        "question": "What are some common use cases of Speech Recognition technology?",
         "options": [
-            "1960s",
-            "1970s",
-            "1980s",
-            "1990s"
+            "Voice assistants",
+            "Transcription services",
+            "Call center automation",
+            "All of the above"
         ],
-        "answer": "1980s"
+        "answer": "All of the above"
     },
     {
-        "question": "What was the purpose of the DARPA challenges in speech recognition?",
+        "question": "What is the purpose of OpenAI's Whisper?",
         "options": [
-            "To promote research and advancements in the field",
-            "To train voice assistants",
-            "To improve internet connectivity",
-            "To develop social media platforms"
+            "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 promote research and advancements in the field"
+        "answer": "To improve automatic speech recognition systems"
     },
     {
-        "question": "What role did neural networks play in speech recognition?",
+        "question": "Which programming language is commonly used in developing Speech Recognition applications?",
         "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"
+            "Python",
+            "Java",
+            "C++",
+            "JavaScript"
         ],
-        "answer": "They allowed for automatic extraction of features from speech data"
+        "answer": "Python"
     },
     {
-        "question": "Which popular voice assistant was introduced in 2011?",
+        "question": "What are the challenges faced by Speech Recognition systems?",
         "options": [
-            "Siri",
-            "Alexa",
-            "Cortana",
-            "Google Assistant"
+            "Background noise",
+            "Accents and dialects",
+            "Speech disorders",
+            "All of the above"
         ],
-        "answer": "Siri"
+        "answer": "All of the above"
     },
     {
-        "question": "What recent advancements have contributed to the improvement of speech recognition?",
+        "question": "What is the difference between automatic and interactive Speech Recognition?",
         "options": [
-            "Neural networks and deep learning",
-            "Augmented reality technology",
-            "Quantum computing",
-            "Robotics"
+            "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": "Neural networks and deep learning"
+        "answer": "Automatic Speech Recognition requires pre-recorded speech, while interactive Speech Recognition can process real-time speech"
     },
     {
-        "question": "In which field is speech recognition commonly used to convert spoken words into written text?",
+        "question": "Which company developed the first practical speech recognition system?",
         "options": [
-            "Medical diagnosis",
-            "Automotive engineering",
-            "Transcription services",
-            "Space exploration"
+            "IBM",
+            "Microsoft",
+            "Apple",
+            "Google"
         ],
-        "answer": "Transcription services"
+        "answer": "IBM"
     },
     {
-        "question": "How does speech recognition technology benefit individuals with disabilities?",
+        "question": "What is the primary technology behind modern Speech Recognition systems?",
         "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"
+            "Hidden Markov Models (HMMs)",
+            "Recurrent Neural Networks (RNNs)",
+            "Support Vector Machines (SVMs)",
+            "Convolutional Neural Networks (CNNs)"
         ],
-        "answer": "It enables them to interact with technology through voice commands"
+        "answer": "Recurrent Neural Networks (RNNs)"
     },
     {
-        "question": "Which speech recognition system developed by OpenAI is known for its state-of-the-art performance?",
+        "question": "What is the role of language models in Speech Recognition?",
         "options": [
-            "Whisper",
-            "Roomba",
-            "Siri",
-            "Echo"
+            "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": "Whisper"
+        "answer": "To improve the accuracy and context understanding of Speech Recognition systems"
     }
 ]