ID: ELRA-S0389

The Accented English part of the GlobalPhone resources contains 63 recording sessions of Bulgarian, Chinese, German, and Indian native speakers reading 37 English sentences each, produced in GlobalPhone-style, i.e. 16kHz PCM encoded audio recordings of utterance-segmented read speech from the new...

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ID: ELRA-S0001

ACCOR is a unique acoustic and articulatory database recorded as part of the ESPRIT- ACCOR project investigating cross-language acoustic-articulatory correlations in coarticulatory processes. The European Languages covered are: Catalan, English, French, German, Irish Gaelic, Italian and Swedish. ...

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ID: ELRA-T0375

Automatic Term Recognition (ATR) is a research task that deals with the identification of domain-specific terms. Terms, in simple words, are textual realization of significant concepts in an expertise domain. Additionally, domain-specific terms may be classified into a number of categories, in wh...

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ID: ELRA-S0342

This database consists of 1443 nonsense words including all the diphones for the Polish language. The diphone is always placed at an unstressed syllable. The neighbourhood doesn’t influence the co-articulation of the diphone. The database includes information such as: the name of the diphone, co...

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ID: ELRA-S0339

This database contains parliamentary statements and newspaper reviews read by a semi-professional male speaker. It consists of a selection of 2150 sentences annotated and manually verified, including 100 rare phonemes in words. Prompts vary in length from 2.3 to 13.4 seconds, with an average leng...

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ID: ELRA-S0365

aGender contains speech sample recordings over public telephone lines with read and (semi-)spontaneous speech. Native German speakers called a voice portal from their private phone, and read text + answered some open questions. The purpose of the corpus is the automatic detection of gender and/or...

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ID: ELRA-S0089

This corpus consists of 3 sub-corpora of 16 kHz 16 bits signals, recorded by 304 Castillian speakers. The 3 sub-corpora are: - Phonetic corpus: 6,800 utterances of phonetically balanced sentences, including 1000 with phonetic segmentation. - Geographic corpus: 6,800 utterances of sentences ext...

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ID: ELRA-S0299

ALC contains recordings of German speakers that are either intoxicated or sober. The type of speech ranges from read single digits to full conversation style. Recordings were done during drinking test where speakers drank beer or wine to reach a self-chosen level of alcoholic intoxication. The ac...

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ID: ELRA-W0030

The corpus was developed in the course of a research project at the University of Essex, in collaboration with the Open University. The corpus contains Al-Hayat newspaper articles with value added for Language Engineering and Information Retrieval applications development purposes. The data have ...

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ID: ELRA-S0486

The ALLIES Corpus was produced within the European CHIST-Era project ALLIES. The ALLIES project enabled to carry out a campaign for the evaluation of Broadcast News across time diarization systems using French data. This project is an extension of the previous ESTER, REPERE and ETAPE evaluation c...

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ID: ELRA-S0228-102

This corpus comprises 12,974 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (headset and mobile in noisy restaurant/shopping mall/info center/hospital/station/car). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 12 hours of speech per ch...

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ID: ELRA-S0468

It is recorded by 219 American children native speakers. The recording texts are mainly storybook, children's song, spoken expressions, etc. 350 sentences for each speaker. Each sentence contain 4.5 words in average. Each sentence is repeated 2.1 times in average. The recording device is hi-fi Bl...

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ID: ELRA-S0228-93

This corpus was recorded by 20 speakers (10 males and 10 females), over 7 channels (multi-channel in quiet office/home). Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 10 hours of speech per channel.

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ID: ELRA-S0437

1842 American native speakers participated in the recording with authentic accent. The recorded script is designed by linguists, based on scenes, and cover a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with ...

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ID: ELRA-S0467

The data set contains 349 American English speakers' speech data, all of whom are American locals. It is recorded in quiet environment. The recording contents cover various categories like economics, entertainment, news and spoken language. It is manually transcribed and annotated with the starti...

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ID: ELRA-S0228-79

This corpus comprises 49,990 entries uttered by 50 speakers (25 males and 25 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 24.9 hours of speech per channel.

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ID: ELRA-S0228-113

This corpus was recorded in both quiet and noisy environments over 2 channels and collected from a total of 50 speakers, including 24 males and 26 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as text m...

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ID: ELRA-S0228-73

This corpus comprises 14,988 entries uttered by 50 speakers (23 males and 27 females), recorded over the mobile telephone network. Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 14.67 hours of speech.

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ID: ELRA-S0228-58

The corpus contains the recordings of 38,718 utterances of American English mobile Keywords speech data which were from 149 speakers(72 males and 77 females). Each speaker was designed to record 1 session, totally 260 utterances in quiet or noisy environments. The total pure recording time is abo...

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ID: ELRA-S0228-68

This corpus comprises 33,527 entries uttered by 40 speakers (21 males and 19 females), recorded over 2 channels (desktop in quiet office and mobile in noisy restaurant). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 14.7 hours of speech per channel.

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