ID: ELRA-S0039

APASCI is an Italian speech database recorded in an insulated room with a Sennheiser MKH 416 T microphone. It includes 5,290 phonetically rich sentences and 10,800 isolated digits, for a total of 58,924 word occurrences (2,191 different words) and 641 minutes of speech. The speech material was re...

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ID: ELRA-AURORA-CD0003-05

The Aurora project was originally set up to establish a world wide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.The two work items within ETSI are ...

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ID: ELRA-S0369

CLIPS_MT_MANUAL is a sub-corpus of the original Italian CLIPS corpus (Corpora e Lessici dell'Italiano Parlato e Scritto). This corpus contains 3228 inspected and partially repaired WAV signal files, each containing one dialogue turn (*.wav), 3228 corrected original CLIPS annotation files (*.acs, ...

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ID: ELRA-S0172

Description The C-ORAL-ROM resource is a multilingual corpus of spontaneous1 speech for the main romance languages of around 1,200,000 words (IST 2000-26228). The resource comprises three components: a)Multimedia corpus; b)Speech software; c)Appendix. The corpus consists of four comparable recor...

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ID: ELRA-W0005

The objective is to provide a small but fine grained morphosyntactically tagged corpus, 50.000 running words for each of the two languages (Italian and German) to be used in research work on tagging methods and models. The text for German comes from the Frankfurter Rundschau extracted from the EC...

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ID: ELRA-S0323

The EPIC corpus is a parallel corpus of European Parliament speeches and their corresponding simultaneous interpretations. This corpus includes source speeches in Italian, English and Spanish and interpreted speeches in all possible combinations and directions (from English into Italian and Spani...

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ID: ELRA-S0093

The Italian Broadcast News Corpus (IBNC) was produced by the ITC-IRST (Italy) through a funding from ELRA in the framework of the European Commission project LRsP&P (Language Resources Production & Packaging - LE4-8335). RAI, the major Italian broadcast company, supplied studio quality recordings...

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ID: ELRA-S0228-98

This corpus comprises 19,788 entries uttered by 31 speakers (15 males and 16 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 4.9 hours of speech per channel.

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ID: ELRA-S0147

The Italian Speech Corpus 1 contains the recordings of 202 native Italian speakers (112 males, 90 females) recorded in an office and a closed public place, over 4 channels, in a range of low to medium background noise environments (Plantronics Audio 10 (computer/desk mic), Shure SM58 (desk mounte...

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ID: ELRA-S0450

The data were recorded by 3,109 native Italian speakers with authentic Italian accents. The recorded content covers a wide range of categories such as general purpose, interactive, in car commands, home commands, etc. The recorded text is designed by a language expert, and the text is manually pr...

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ID: ELRA-S0472

Italian speech data (reading) is collected from 325 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, and oral. Each sentence contains 9.2 words in average. Each sentence is repeated...

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ID: ELRA-S0461

Italian languageaudio data captured by mobile phone , with total duration of 347 hours. It is recorded by 800 Italian native speakers, balanced in gender is balanced; the recording environment is quiet; all texts are manually transcribed with high accuracy. This data set can be applied on automat...

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ID: ELRA-S0144

The Italian SpeechDat-Car database contains the recordings of 300 Italian speakers (149 females, 151 males) recorded over the GSM telephone network, in a car. This database is partitioned into 14 DVDs. The speech data files are in two formats. Four of the 5 microphones were recorded on the comput...

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ID: ELRA-S0228-80

This corpus comprises 49,994 entries uttered by 50 speakers (23 males and 27 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 24.21hours of speech per channel.

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ID: ELRA-S0213

The Italian Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 550 adult Italian speakers (273 males, 277 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2) The second set comprises the reco...

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ID: ELRA-W0044

ISST comprises 89,941 tokens for the financial-domain part and 215,606 tokens for the general part. It is formatted in XML. ISST has a five-level structure covering orthographic, morpho-syntactic, syntactic and semantic levels of linguistic description. Syntactic annotation is distributed over t...

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ID: ELRA-S0148

The Italian TTS Speech Corpus contains the recordings of 1 native Italian speaker (male, 50 years old) recorded in a studio over 1 channel (Shure SM15 unidirectional professional head-word condenser microphone). The data collection and transcription were performed by Appen (Australia). Speech sam...

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ID: ELRA-S0060

This database comprises one CD-ROM for each five languages (French, English, Italian, German and Spanish), totalling 4 hours and 20 minutes of speech and involving 50 different speakers (5 male and 5 female per language). The recordings on which the corpus is based consist of passages of about f...

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ID: ELRA-W0069

The PANACEA Environment Italian monolingual corpus was acquired in the framework of the PANACEA project (Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies), under the European Commission's Seventh Framework Programme...

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ID: ELRA-W0070

The PANACEA Labour Italian monolingual corpus was acquired in the framework of the PANACEA project (Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies), under the European Commission's Seventh Framework Programme. ...

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