Update README.md

README.md

@@ -98,9 +98,9 @@ dataset_info:
 # Dataset Card for "ParlaSpeech-CZ.v1.0"
 
 
-The ParlaSpeech-CZ dataset is built from the transcripts of parliamentary proceedings available in the Czech part of the ParlaMint corpus, and the parliamentary recordings available from the Czech Parliament's YouTube channel.
+The ParlaSpeech-CZ dataset is built from the transcripts of parliamentary proceedings available in the Czech part of the ParlaMint corpus (http://hdl.handle.net/11356/1859), and the parliamentary recordings available from the AudioPSP dataset (https://hdl.handle.net/11234/1-5404).
 
-The corpus consists of audio segments that correspond to specific sentences in the transcripts. The transcript contains word-level alignments to the recordings, each instance consisting of character and millisecond start and end offsets, allowing for simple further segmentation of long sentences into shorter segments for ASR and other memory-sensitive applications. Sequences longer than 30 seconds have already been removed from this dataset, which should allow for a simple usage on most modern GPUs.
+The dataset consists of audio segments that correspond to specific sentences in the transcripts. The transcript contains word-level alignments to the recordings, each instance consisting of character and millisecond start and end offsets, allowing for simple further segmentation of long sentences into shorter segments for ASR and other memory-sensitive applications. Sequences longer than 30 seconds have already been removed from this dataset, which should allow for a simple usage on most modern GPUs.
 
 Each segment has an identifier reference to the ParlaMint 4.0 corpus (http://hdl.handle.net/11356/1859) via the utterance ID and character offsets.
 
@@ -108,7 +108,7 @@ While in the original dataset all the speaker information from the ParlaMint cor
 
 Different to the original dataset, this version has also a `text_normalised` attribute, which contains the text with parliamentary comments (`[[Applause]]` and similar) removed.
 
-If you use the dataset, please cite the following paper:
+If you use the dataset, please cite the following papers:
 
 ```
 @inproceedings{ljubesic-etal-2022-parlaspeech,
@@ -129,4 +129,22 @@ If you use the dataset, please cite the following paper:
     url = "https://aclanthology.org/2022.parlaclarin-1.16",
     pages = "111--116",
 }
+
+@inproceedings{10.1007/978-3-030-83527-9_25,
+author="Kopp, Maty{\'a}{\v{s}}
+and Stankov, Vladislav
+and Kr{\r{u}}za, Jan Old{\v{r}}ich
+and Stra{\v{n}}{\'a}k, Pavel
+and Bojar, Ond{\v{r}}ej",
+editor="Ek{\v{s}}tein, Kamil
+and P{\'a}rtl, Franti{\v{s}}ek
+and Konop{\'i}k, Miloslav",
+title="ParCzech 3.0: A Large Czech Speech Corpus with Rich Metadata",
+booktitle="Text, Speech, and Dialogue",
+year="2021",
+publisher="Springer International Publishing",
+address="Cham",
+pages="293--304",
+isbn="978-3-030-83527-9"
+}
 ```