DOI: 10.82270/sldr000868/v2
title: JURISDICT

description: The JURISDICT speech database is a large continuous speech database originally designed for dictated speech recognition.The database includes above 1500 annotated sessions of speakers from 16 regions of Poland, plus  another 500 experimental recordings.The JURISDICT database is intended to provide material for both training and testing of  speech dictation of common  and  legal  texts, including isolated word systems, word-spotting systems and vocabulary independent systems which use either whole word or sub-word modeling approaches. The typical JURISDICT recording session scenario is a mixture of semi-spontaneous (controlled dictation) and read/dictated speech. The specification is based on the general language features  and also on peculiarities of Polish on the different linguistic as well as phonetic levels. The general assumptions for the structure of database  take into account text features: semantic structure, syntactic factors, grammatical and acoustic-phonetic factors and speaking style: semi-spontaneous, controlled spontaneous dictation, elicited dictation (answering speech).The starting point for annotation specification applied for the present corpus were SpeeCon annotation guidelines (deliverable D214) based on orthographic, word-level transcription. In the first step, annotators (a team of students of The Faculty of Modern Languages and Literature in Poznań, above thirty people during the whole period of the annotation process) manually validated the agreement of the recorded text with the input orthographic transcription by inserting necessary adjustments, special events markers, and time boundaries. The first-step annotations were hand-validated (where necessary) by two expert phoneticians and four experienced labellers for whom the inter-labeller agreement was monitored, especially as concerned the number and types of special events and time boundary insertion and spelling errors. The inter-labeler agreement concerning the time boundaries was high (above 90%), the agreement for the special events labels depended on the type of label and was best for the unintelligible speech markers (above 80%) and filled pause labels (approx. 70%). It was lower for speaker noise labels and mispronunciation markers because of a greater variation observed for one of the labelers, after excluding the results for that labeler, the agreement was up to 70%.
description: The JURISDICT speech database is a large continuous speech database originally designed for dictated speech recognition.The database includes above 1500 annotated sessions of speakers from 16 regions of Poland, plus another 500 experimental recordings.The JURISDICT database is intended to provide material for both training and testing of speech dictation of common and legal texts, including isolated word systems, word-spotting systems and vocabulary independent systems which use either whole word or sub-word modeling approaches. The typical JURISDICT recording session scenario is a mixture of semi-spontaneous (controlled dictation) and read/dictated speech. The specification is based on the general language features and also on peculiarities of Polish on the different linguistic as well as phonetic levels. The general assumptions for the structure of database take into account text features: semantic structure, syntactic factors, grammatical and acoustic-phonetic factors and speaking style: semi-spontaneous, controlled spontaneous dictation, elicited dictation (answering speech).The starting point for annotation specification applied for the present corpus were SpeeCon annotation guidelines (deliverable D214) based on orthographic, word-level transcription. In the first step, annotators (a team of students of The Faculty of Modern Languages and Literature in Poznań, above thirty people during the whole period of the annotation process) manually validated the agreement of the recorded text with the input orthographic transcription by inserting necessary adjustments, special events markers, and time boundaries. The first-step annotations were hand-validated (where necessary) by two expert phoneticians and four experienced labellers for whom the inter-labeller agreement was monitored, especially as concerned the number and types of special events and time boundary insertion and spelling errors. The inter-labeler agreement concerning the time boundaries was high (above 90%), the agreement for the special events labels depended on the type of label and was best for the unintelligible speech markers (above 80%) and filled pause labels (approx. 70%). It was lower for speaker noise labels and mispronunciation markers because of a greater variation observed for one of the labelers, after excluding the results for that labeler, the agreement was up to 70%.The database was contributed to SLDR (now Ortolang) by Katarzyna Klessa at the request of the project manager Grazyna Demenko. The development of the database, as well as the initial summaries and analyses of its contents were made possible thanks to the work of several dozens of contributors (researchers, engineers, annotators, and technicians), including the authors of the following publications:Demenko, G., Grocholewski, S., Klessa, K., Ogórkiewicz, J., Wagner, A., Lange, M., Śledziński, D. amp; Cylwik, N. (2008, May). JURISDIC: Polish Speech Database for Taking Dictation of Legal Texts. In Proceedings of LREC Conference, Marrakech, Morocco. Paper 326.Demenko Grażyna, Stefan Grocholewski, Katarzyna Klessa, Jerzy Ogórkiewicz, Agnieszka Wagner, Marek Lange, Daniel Śledziński amp; Natalia Cylwik (2008). LVCSR speech database-JURISDIC. In Signal Processing Algorithms, Architectures, Arrangements, and Applications (SPA), pp. 67-72. IEEE, 2008.Klessa, K., amp; Demenko, G. (2009). Structure and Annotation of Polish LVCSR Speech Database. In Proceedings of the Tenth Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 1815-1818, Brighton, UK.Please refer to one or more of these publications while using the corpus data.