Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Mismatch between Text Script and Voice-over Using Utterance
  Verification Based on Phoneme Recognition Ranking   The purpose of this study is to detect the mismatch between text script and
voice-over. For this, we present a novel utterance verification (UV) method,
which calculates the degree of correspondence between a voice-over and the
phoneme sequence of a script. We found that the phoneme recognition
probabilities of exaggerated voice-overs decrease compared to ordinary
utterances, but their rankings do not demonstrate any significant change. The
proposed method, therefore, uses the recognition ranking of each phoneme
segment corresponding to a phoneme sequence for measuring the confidence of a
voice-over utterance for its corresponding script. The experimental results
show that the proposed UV method outperforms a state-of-the-art approach using
cross modal attention used for detecting mismatch between speech and
transcription.

17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph