Lecture 15

Question 1

What is phonology?

Answer 1

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Question 2

What is Phoneme?

Answer 2

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Question 3

What is Phone?

Answer 3

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Question 4

What is the difference between phoneme and phone?

Answer 4

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Question 5

What is phonemic representation of “spin” and “pin”?

Answer 5

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Question 6

What is the phonetic representation of “spin” and “pin”?

Answer 6

QADS

Question 7

What is an allophone?

Answer 7

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Question 8

What is the Mel scale? What does it represent?

Answer 8

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Question 9

What is the proportionality?

Answer 9

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Question 10

How do the frequencies that are equidistant compare?

Answer 10

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Question 11

What are the properties of the Mel frequency scale?

Answer 11

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Question 12

What does MFCC stand for?

Answer 12

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Question 13

What is the process of computing cepstral coefficients?

Answer 13

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Question 14

What is the process of computing Mel-frequency cepstral coefficients? What is the difference when compared to cepstral coefficients?

Answer 14

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Question 15

How does speech recognition work? What is initially done to the speech signal?

Answer 15

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Question 16

What is the task at hand?

Answer 16

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Question 17

What is an idea through which this problem could be solved?

Answer 17

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Question 18

What is a problem with this solution?

Answer 18

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Question 19

How to solve this problem? What is the relationship describing the two conditional probabilities?

Answer 19

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Question 20

What is P(q)?

Answer 20

SADADS

Question 21

What are the properties of P (y)? What is a consequence of this?

Answer 21

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Question 22

How to compute P(y/q)? What is the machinery involved?

Answer 22

wassads

Question 23

What is a Hidden Markov Model? What are the two variables involved? Which one is hidden and which one is the observable?

Answer 23

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Question 24

What are the probabilities from moving from one hidden state to another? What does going from one state to another state depend on?

Answer 24

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Question 25

What is the probability of getting a certain observable output from a particular hidden state?

Answer 25

SASASDS

Question 26

What is the aim of the Hidden Markov model?

Answer 26

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Question 27

How does out problem of finding P(Y/q) fit into the Hidden Markov model?

Answer 27

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Question 28

How to write it out in terms of transition probabilities? i.e. the probabilities of the Hidden Markov model?

Answer 28

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Question 29

What are the different parameters?

Answer 29

wasasd

Question 30

What probability do we have to maximise using the parameters?

Answer 30

saasds

Question 31

Draw out the P(Y/q) Hidden Markov model? What are the hidden states and the observable states? What matrixes do they each take? Why?

Answer 31

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Question 32

What is the algorithm used to maximise? What does it make better?

Answer 32

saadasd

Question 33

Define the γi(k) probability?

Answer 33

saasas

Question 34

Define the ξij(k) probability?

Answer 34

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Question 35

What are the updated parameters according to the Baum - Welch algorithm?

Answer 35

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Question 36

What is the forward procedure?

Answer 36

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Question 37

What is the backward procedure?

Answer 37

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Question 38

What is the plan for speech recognition through Hidden Markov Models?

Answer 38

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Question 39

How to match phones to an unknown speech sample?

Answer 39

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