# An Overview of the IberSpeech-RTVE 2022 Challenges on Speech Technologies
## 2 IberSpeech-RTVE 2022 Evaluation Databases
### MAVIR Database  
The MAVIR database consists of a set of Spanish talks from the MAVIR workshops ([[http://www.mavir.net](http://www.mavir.net)]([http://www.mavir.net](http://www.mavir.net)) (accessed on 24 July 2023)) held in 2006, 2007 and 2008. It contains speech samples from Spanish speakers both from Spain and Latin America. The MAVIR Spanish dataset consists of 7 h of spontaneous speech files from different speakers. These data were then divided into training, development, and test sets. The speech data were manually annotated in an orthographic form, but timestamps were only set for phrase boundaries ([[http://cartago.llf.uam.es/mavir/index.pl?m=videos](http://cartago.llf.uam.es/mavir/index.pl?m=videos)]([http://cartago.llf.uam.es/mavir/index.pl?m=videos](http://cartago.llf.uam.es/mavir/index.pl?m=videos)) (accessed on 24 July 2023)). The training data were made available to the participants including the orthographic transcription and the timestamps for phrase boundaries. For the challenge, the timestamps for the roughly 3000 occurrences of the queries used in the development and test evaluation datasets were also provided. Initially, the speech data were recorded in several audio formats (pulse code modulation (PCM) mono and stereo, MP3, 22.05 kHz, and 48 kHz, among others). For this evaluation, audio recordings were all converted to PCM, 16 kHz, single channel, 16 bits per sample using the SoX tool ([[http://sox.sourceforge.net/](http://sox.sourceforge.net/)]([http://sox.sourceforge.net/](http://sox.sourceforge.net/)) (accessed on 24 July 2023)). All the recordings but one were originally made with a Digital TASCAM DAT model DA-P1 equipment. Different microphones were used, which mainly consisted of tabletop or floor-standing microphones, but one lavalier microphone was also employed. The distance from the microphone to the mouth of the speaker was not specifically controlled, but in most cases was smaller than 50 cm. The speech recordings took place in large conference rooms with a capacity for over a hundred people. This conveys additional challenges \begin{table}
\begin{tabular}{l c c c c c} \hline \hline  & \multicolumn{3}{c}{**RTVE2022 DB**} \\ \hline
**TV Show Name** & **Show Code** & **S2T** & **SDIA** & **TaSA** & **SoS** \\ \hline
3 \(\times\) 4 & 3 \(\times\) 4 & 2:58:17 & 2:58:17 & & 0.59:21 \\ \hline A pedir de boca & APB & 3:41:38 & & & \\ \hline Agrosfera & AG & 4:15:20 & 4:15:20 & 6:38:04 & 0.51:27 \\ \hline Aqui la Tierra & AT & 2:46:44 & 2:46:44 & 2:52:35 & 0.28:51 \\ \hline Ateneo & ATE & 1:40:09 & & & \\ \hline Cerámica Popular Espafola & CPE & 1:02:35 & & & \\ \hline Comando Actualidad & CA & 3:59:29 & 3:59:29 & & 1:00:39 \\ \hline Conversatorios en Casa America & CCA & 1:58:44 & & & \\ \hline Corazón & CO & 3:00:17 & 3:00:17 & 4:33:49 & 0.30:03 \\ \hline El cazador & EC & 3:48:22 & & & \\ \hline Encuestas con rudo ambiente & ERA & 2:08:13 & & & \\ \hline Entrevistas en estudio & EE & 3:54:57 & & & \\ \hline Espaa Direto & ED & 4:05:57 & 4:05:57 & & 0.59:01 \\ \hline Grasa & GR & 1:29:36 & 1:29:36 & & \\ \hline Informativos UMATIC & IU & 0:59:49 & & & \\ \hline Jara y Sedal & JyS & 2:29:17 & & & \\ \hline Noticias Nacional & NN & 2:14:32 & & & \\ \hline Riders & RD & 1:15:00 & 1:15:00 & & \\ \hline Saber y Ganar & SyG & 4:28:28 & & & \\ \hline Toros & TO & 0:49:57 & & & \\ \hline Yreal & YR & 1:08:46 & 1:08:46 & & \\ \hline Total hours & & 54:16:07 & 24:59:26 & 14:04:28 & 4:49:22 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: RTVE2022 DB test dataset distribution among the different challenges. S2T: Speech to Text, SDIA: Speaker Diarization and Identity Assignment, TaSA: Text and Speech Alignment, SoS: Search on Speech. including background noise (particularly babble noise) and reverberation. Therefore, these realistic settings and the variety of phenomena in spontaneous speech make this database appealing and challenging enough for evaluation.