A corpus of digitized speech errors is used to compare the prosody of correction patterns for word-level vs. sound-level errors. Results for both peak F0 and perceived prosodic markedness confirm that speakers are more likely to mark corrections of word-level errors than corrections of sound-level errors, and that errors ambiguous between word-level and soundlevel (such as boat for moat) show correction patterns like those for sound level errors. This finding increases the plausibility of the claim that word-sound-ambiguous errors arise at the same level of processing as sound errors that do not form words
Contains fulltext : 56439.pdf (publisher's version ) (Open Access)The research pre...
For the implementation of the prosody predic-tion model, large scale annotated speech corpo-ra have ...
This paper examines three directions for the course of future research on speech errors: observation...
A corpus of digitized speech errors is used to compare the prosody of correction patterns for word-l...
Sequences of similar (i.e., partially identical) words can be hard to say, as indicated by error fre...
Phonological encoding in language production can be defined as a set of processes generating utteran...
We are so used to speaking in our native language that we take this ability for granted. We think th...
99 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.While many studies have examin...
A persistent problem for keyword-driven speech recognition sys-tems is that users often embed the to...
Spontaneous self-corrections in speech pose a communication problem; the speaker must make clear to ...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
Tongue twister error data described here were collected from 44 unimpaired speakers producing six re...
The speech medium is more than an audio conveyance of word strings. It contains meta information abo...
This paper attempts to answer two questions: (a) What is the cause of lexical bias in phonological s...
Error analysis involves detecting and correcting discrepancies between the 'text produced so far' (T...
Contains fulltext : 56439.pdf (publisher's version ) (Open Access)The research pre...
For the implementation of the prosody predic-tion model, large scale annotated speech corpo-ra have ...
This paper examines three directions for the course of future research on speech errors: observation...
A corpus of digitized speech errors is used to compare the prosody of correction patterns for word-l...
Sequences of similar (i.e., partially identical) words can be hard to say, as indicated by error fre...
Phonological encoding in language production can be defined as a set of processes generating utteran...
We are so used to speaking in our native language that we take this ability for granted. We think th...
99 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.While many studies have examin...
A persistent problem for keyword-driven speech recognition sys-tems is that users often embed the to...
Spontaneous self-corrections in speech pose a communication problem; the speaker must make clear to ...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
Tongue twister error data described here were collected from 44 unimpaired speakers producing six re...
The speech medium is more than an audio conveyance of word strings. It contains meta information abo...
This paper attempts to answer two questions: (a) What is the cause of lexical bias in phonological s...
Error analysis involves detecting and correcting discrepancies between the 'text produced so far' (T...
Contains fulltext : 56439.pdf (publisher's version ) (Open Access)The research pre...
For the implementation of the prosody predic-tion model, large scale annotated speech corpo-ra have ...
This paper examines three directions for the course of future research on speech errors: observation...