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-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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ID: ELRA-S0156

ANITA (Audio eNhancement In secured Telecommunication Applications) is a European project launched on the initiative of EADS TELECOM with the objective of reducing audio acoustics noise in secured communications in adverse environments (sirens, alarms, engines, water pumps, stress situations, etc...

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ID: ELRA-S0484

ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support fr...

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ID: ELRA-S0490-07

Human voice recordings of single-word lemmas and multiword expressions, besides IPA (International Phonetic Alphabet) and alternative scripts (Japanese – Romaji/Kanji/Hiragana; Chinese – Pinyin; Arabic and Hebrew – w/out diacritics), distributed as distinct sets (from ELRA-S0490-01 to ELRA-S0490-...

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ID: ELRA-AURORA-CD0005

The Aurora project was originally set up to establish a worldwide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. The AURORA-5 database has been mainly developed to investigate the influence on the performance ...

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ID: ELRA-AURORA-CD0002

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-AURORA-CD0004-01

The Aurora project was originally set up to establish a worldwide 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 ar...

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ID: ELRA-AURORA-CD0004-02

The Aurora project was originally set up to establish a worldwide 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 ...

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