# An Overview of the IberSpeech-RTVE 2022 Challenges on Speech Technologies
## 2 IberSpeech-RTVE 2022 Evaluation Databases
### The Basque Parliament Dataset
#### 2.5.2 The Paired Texts  
The text to be aligned with the audio was extracted from the session's minutes. The Basque Parliament session minutes are based on the audio but ignore spontaneous speech events (such as filled pauses, false starts, repeated words, etc.) and include a sizable amount of editions to preserve syntactical correctness. As a consequence of this, the provided  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**File ID** & **\#occ.** & **dur. (min)** & **\#spk.** \\ \hline
13\_000500\_003\_19421\_642906 & 875 & 5.55 & 2 (1 male, 1 female) \\ \hline
13\_000400\_007\_0_19432\_643097 & 563 & 3.53 & 2 (1 male, 1 female) \\ \hline
13\_000400\_005\_0\_19422\_642932 & 718 & 3.57 & 2 (1 male 1 female) \\ \hline
13\_000400\_005\_0\_19422\_642923 & 1898 & 11.62 & 1 (1 female) \\ \hline
13\_000400\_005\_0\_19422\_642922 & 1733 & 11.67 & 1 (1 female) \\ \hline
13\_000400\_004\_0\_19388\_642448 & 1107 & 7.43 & 1 (1 male) \\ \hline
13\_000400\_003\_0\_19381\_642399 & 1403 & 8.13 & 3 (2 males, 1 female) \\ \hline
13\_000400\_003\_0\_19381\_642398 & 1279 & 11.45 & 3 (2 males, 1 female) \\ \hline
13\_000400\_002\_1\_19376\_642375 & 2007 & 13.70 & 2 (1 male, 1 female) \\ \hline
13\_000400\_002\_1\_19376\_642366 & 1720 & 10.73 & 1 (1 male) \\ \hline
13\_000327\_002\_0\_19437\_643241 & 1405 & 8.73 & 2 (2 males) \\ \hline
12\_000400\_153\_0\_18748\_633006 & 1331 & 8.33 & 2 (2 males) \\ \hline
12\_000400\_148\_0\_1872\_632388 & 1012 & 5.42 & 2 (1 male, 1 female) \\ \hline
12\_000400\_003\_0\_16430\_586456 & 1484 & 10.33 & 1 (1 ma.) \\ \hline ALL & & 18,535 & 120.19 & 25 (16 males, 9 females) \\ \hline \hline \end{tabular}
\end{table}
Table 8: SPARL22 database: number of word occurrences (#occ.), duration (dur.) in minutes (min.), and number of speakers (#spk.) for the testing (test) dataset.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Task** & **\#test Terms** & **\#test Occurrences** \\ \hline STD & 282 & 1603 \\ \hline QBe STD & 108 & 969 \\ \hline \hline \end{tabular}
\end{table}
Table 9: SPARL22 database query information: number of terms and number of occurrences for STD and QBe STD tasks for the test dataset. The term length of the SPARL22 test query lists varies between 3 and 26 graphemes.  
text does not match the audio, featuring word deletions, insertions and replacements. Sometimes, a word said in the audio is replaced in the minutes with a very similar variation of it (with different gender or number) and the most optimistic alignment will inescapably lead to an error, just because acoustics and spelling do not match. Both the paired texts and the ground truth transcriptions have been normalized by removing punctuation marks, replacing accented vowels with non-accented vowels and converting all letters to lowercase. Uppercase letters have been kept only for acronyms (e.g., ADN, EH, UPyD, etc.) which could be either spelled (the most common case) or read as words. This should be taken into account when performing the alignment.  
The paired texts do not include the parts spoken in Basque, so there could be remarkable time leaps between one word, at the end of a part spoken in Spanish, and the following one, at the beginning of the next part spoken in Spanish (maybe several minutes ahead in the audio signal). Again, this should be taken into account when performing the alignment.