Answer the following speech and language processing questions. (a) Explain the Noisy Channel Model i ...

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Answer the following speech and language processing questions. (a) Explain the Noisy Channel Model in the context of Automatic Speech Recognition (ASR), and why this model is important in the process of decoding speech signals. (b) What is the Viterbi Algorithm, and how does it function within Hidden Markov Models (HMMs) to assist in speech recognition? (c) Explain the concept of the spectral envelope in speech signal processing and how it is extracted from the speech spectrum. (d) Discuss the differences between Connectionist Temporal Classification (CTC) and RNN-Transducer models in neural network-based ASR systems. What are the advantages of using one model over the other?