This paper describes speech data recording, processing and annotation of a new speech corpus CoRuSS (Corpus of Russian Spontaneous Speech), which is based on connected communicative speech recorded from 60 native Russian male and female speakers of different age groups (from 16 to 77). Some Russian speech corpora available at the moment contain plain orthographic texts and provide some kind of limited annotation, but there are no corpora providing detailed prosodic annotation of spontaneous conversational speech. This corpus contains 30 hours of high quality recorded spontaneous Russian speech, half of it has been transcribed and prosodically labeled. The recordings consist of dialogues between two speakers, monologues (speakers’ self-presentations) and reading of a short phonetically balanced text. Since the corpus is labeled for a wide range of linguistic - phonetic and prosodic - information, it provides basis for empirical studies of various spontaneous speech phenomena as well as for comparison with those we observe in prepared read speech. Since the corpus is designed as a open-access resource of speech data, it will also make possible to advance corpus-based analysis of spontaneous speech data across languages and speech technology development as well.
[1]
Paul Boersma,et al.
Praat: doing phonetics by computer
,
2003
.
[2]
Peter Wittenburg,et al.
ELAN: a Professional Framework for Multimodality Research
,
2006,
LREC.
[3]
Daniil Kocharov,et al.
CORPRES - Corpus of Russian Professionally Read Speech
,
2010,
TSD.
[4]
Natalia Bogdanova-Beglarian,et al.
The "One Day of Speech" Corpus: Phonetic and Syntactic Studies of Everyday Spoken Russian
,
2015,
SPECOM.
[5]
Tatiana Kachkovskaia,et al.
Prosodic annotation in the new corpus of Russian spontaneous speech CoRuSS
,
2016
.
[6]
Igor Boguslavsky,et al.
A Syntactically and Semantically Tagged Corpus of Russian: State of the Art and Prospects
,
2006,
LREC.
[7]
Paul Boersma,et al.
Praat, a system for doing phonetics by computer
,
2002
.