The HESITA database is a corpus consisting of television daily news collected over a month and was annotated regarding to hesitation events, acoustical environments, speaking styles, speaker characteristics and respiratory events, among other characteristic sounds.
Perfil Sociolinguístico da Fala Bracarense is a Portuguese speech corpus with 90 hours of recorded spontaneous speech, aligned with its transcription in EXMARaLDA format. The corpus is composed by 1h interviews with speakers of the same area (around Braga, Portugal), stratified according to sex,...
EmoVoicePort, Emotional Vocalization Corpus (see Lima, Castro, & Scott, 2013) is a validated set of nonverbal vocalizations that portray four positive emotions (achievement/triumph, amusement, sensual pleasure, relief) and four negative ones (anger, disgust, fear, sadness). The vocalizations (n =...
This corpus is part of the collection of the Wikipedia Dumps which was retrieved from wikipedia.org on April 8, 2010. It comes with two individual XML files, one containing the Wikipedia articles and another containing the metadata about it.
EmoProsodyPort (see Castro & Lima, 2010) is a speech database with 368 short sentences and pseudosentences with neutral emotional content. Acoustic measurements and behavioral data.
CORP-ORAL is a spontaneous speech corpus for European Portuguese. It is the main output of two R&D projects: CORP-ORAL and ORAL-PHON. The data consist of unscripted and unprompted face-to-face dialogues between family, friends, colleagues and unacquainted participants. All recordings are orthogra...
Description
The corpus contains the Laws of Malta in English from the official government website. The unannotated raw text files were extracted from the pdf files that can be found on the website.
108 WAV files of spoken Maltese newspaper texts, subdivided into 12 directories with a variable number of sentences (sometimes: clauses) each. They come together with transcriptions and tables of phoneme durations.
Arquivo Dialetal CLUP - POS is a speech corpus with approximately 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic transcription, POS.