|
>
New Resources
|
 |
Archives of LRs Announcements (available from the ELRA website)
Latest Announcements
Ref.
ELRA |
Name |
Type &
No of entries |
Language |
M |
Non-M |
Date |
Validation
Report |
|
Norwegian EUROM1 (EUROM1_N) |
EUROM1 is the first really multilingual speech database produced in Europe. Over 60 speakers per language pronounced numbers, sentences, isolated words using close talking microphone. |
Norwegian |
R.800
C.800
|
R.1600
C.1600 |
22/09/09 |
N |
|
TC-STAR female baseline voice : Laura |
Laura contains the recordings of one female English (British) speaker recorded in a noise-reduced room through a headset microphone. It consists of the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems).
The TC-STAR male baseline voice : Ian is also available via ELRA under reference ELRA-S0303.
|
English |
R.4500
C.5500
|
R.5500
C.7000 |
22/09/09 |
N |
|
TC-STAR male baseline voice : Ian |
Ian contains the recordings of one male English (British) speaker recorded in a noise-reduced room through a headset microphone. It consists of the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems).
The TC-STAR female baseline voice : Laura is also available via ELRA under reference ELRA-S0302.
|
English |
R.4500
C.5500
|
R.5500
C.7000 |
22/09/09 |
N |
|
SpeechDat(M) Italian Mobile Network Speech Database |
This speech database contains the recordings of 342 Italian speakers recorded over the Italian mobile telephone network. Each speaker uttered around 40 read and spontaneous items. |
Italian |
R.12500
C.18800
|
R.16700
C.23300 |
22/09/09 |
N |
Ref.
ELRA |
Name |
Type &
No of entries |
Language |
M |
Non-M |
Date |
Validation
Report |
|
BioLexicon |
BioLexicon is a large-scale English terminological resource which has been developed to address the needs emerging in text mining efforts in the biomedical domain. It contains over 2.2M lexical entries (over 3.3M semantic relations), and information on over 1.8M variants and on over 2M synonymy relations. BioLexicon is available in a relational database format (MySQL dump format) and it adheres to the EAGLES/ISO standards for lexical resources. |
English |
R.200 RC.4500 C.9000
|
R.320 RC.6000 C.11000 |
31/08/09 |
N |
|
 |
|
|
|