Chapter 16: Language and Computers

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24 Terms

1

Intelligibility

how well listeners can recognize and understand the individual sounds or words generated by the synthesis system.

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2

Pronunciation modeling

used to filter out unlikely sound sequences.

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3

Domain

specific synthesis- create utterances from prerecorded words and phrases that closely match the words and phrases that will be synthesized.

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4

Noisy channel model

treats speech input as if it has been passed through a communication channel that garbles the speech waveform.

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5

Filter

shapes the sound created by the source into the different sounds we recognize as speech sounds.

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6

Naturalness

how much the synthesized speech sounds like the speech of an actual person.

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7

Isolated speech

the user speaks the input clearly and without extraneous words.

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8

Acoustic modeling

mapping the energy values extracted during signal processing.

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9

Concatenative Synthesis

uses recorded speech by stringing together pieces of the recorded speech and then smoothing the boundaries between them.

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10

Source filter theory

there are two independent parts to the production of speech sounds.

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11

Monitor corpus

as new texts continue to be written or spoken, more data is gathered.

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12

Reference corpus

specified amount of text that has been collected and annotated.

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13

Corpora

can be classified by the genre of the source material.

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14

Word spotting

a program focuses on words it knows and ignores ones it doesnt.

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15

Signal processing

recording the speech waveform with a microphone and storing it in a manner that is suitable for further processing by a computer.

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16

Partial Automation

the source language text can first be pre- edited by a person so as to "prime "it for a machine translation system.

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17

Language modeling

calculating the probability of sequences.

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18

Synthesized speech

piecing together smaller recorded units of speech into new utterances.

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19

Speech synthesis

the use of a machine, usually a computer, to produce human- like speech.

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20

Corpus

can be composed from spoken, signed or written language.

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21

Signal processing

recording the speech waveform with a microphone and storing it in a manner that is suitable for further processing by a computer

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22

Acoustic modeling

mapping the energy values extracted during signal processing

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23

Pronunciation modeling

used to filter out unlikely sound sequences

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24

Language modeling

calculating the probability of sequences

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