The Canadian French Emotional (CaFE) speech dataset contains six different sentences, pronounced by six male and six female actors, in six basic emotions plus one neutral emotion. The six basic emotions are acted in two different intensities. This dataset is freely available under a Creative Commons license (CC BY-NC-SA 4.0). The dataset was digitally recorded at a high-resolution (192 kHz sampling rate, 24 bits per sample). CaFE_192k_1.zip - CaFE Speech Dataset (Part 1) CaFE_192k_2.zip - CaFE Speech Dataset (Part 2) A filtered and downsampled version at a lower resolution (48 kHz sampling rate, 16 bits per sample) is also available here: CaFE_48k.zip - CaFE Speech Dataset at 48 kHz This work is licensed under the Creative Commons Att...
International audienceThe classification of emotional speech is a topic in speech recognition with m...
International audienceThe proposal in this pilot study is to present a prosodic and gestural analysi...
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the...
The Canadian French Emotional (CaFE) speech dataset contains six different sentences, pronounced by ...
This document presents the French emotional speech database - Oréau, recorded in a quiet environment...
The CINEMO corpus of French emotional speech provides a richly annotated resource to help overcome t...
International audienceThe detection and modelling of emotions in speech remains a challenging issue ...
ESCorpus-PE dataset contains emotional utterances of Spanish peruvian speech gathered from Spanish i...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 1...
In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice...
Dataset of audio recordings. 20 adult French speakers are recorded saying 8 vowels, under 7 conditi...
The Fharvard corpus is a collection of 700 sentences in French, phonetically balanced into 70 lists ...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender ...
International audienceThe classification of emotional speech is a topic in speech recognition with m...
International audienceThe proposal in this pilot study is to present a prosodic and gestural analysi...
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the...
The Canadian French Emotional (CaFE) speech dataset contains six different sentences, pronounced by ...
This document presents the French emotional speech database - Oréau, recorded in a quiet environment...
The CINEMO corpus of French emotional speech provides a richly annotated resource to help overcome t...
International audienceThe detection and modelling of emotions in speech remains a challenging issue ...
ESCorpus-PE dataset contains emotional utterances of Spanish peruvian speech gathered from Spanish i...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 1...
In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice...
Dataset of audio recordings. 20 adult French speakers are recorded saying 8 vowels, under 7 conditi...
The Fharvard corpus is a collection of 700 sentences in French, phonetically balanced into 70 lists ...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender ...
International audienceThe classification of emotional speech is a topic in speech recognition with m...
International audienceThe proposal in this pilot study is to present a prosodic and gestural analysi...
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the...