BabyEars Affective Vocalizations

Item Name: BabyEars Affective Vocalizations
Author(s): Malcolm Slaney, Gerald McRoberts, Jocelyn Scheirer
LDC Catalog No.: LDC2024S04
ISLRN: 351-800-484-960-7
Release Date: March 15, 2024
Member Year(s): 2024
DCMI Type(s): Sound
Sample Type: pcm
Sample Rate: 22050
Data Source(s): microphone conversation
Application(s): sentiment detection
Language(s): English
Language ID(s): eng
License(s): BabyEars Affective Vocalizations Agreement
Online Documentation: LDC2024S04 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Slaney, Malcolm, Gerald McRoberts, and Jocelyn Scheirer. BabyEars Affective Vocalizations LDC2024S04. Web Download. Philadelphia: Linguistic Data Consortium, 2024.


BabyEars Affective Vocalizations was developed by Malcolm Slaney, Gerald McRoberts, and Jocelyn Scheirer. It contains approximately 22 minutes of spontaneous English speech by 12 adults interacting with their infant children, for a total of 509 infant-directed utterances and 185 adult-directed or neutral utterances.


Speech data was collected in a quiet room during a one-hour session where each parent was asked to play and otherwise interact normally with their infant (aged 10-18 months). A trained research assistant then extracted discrete utterances and classified them in three categories: approval, attention and prohibition.

Emotional classes are indicated in the speech file names: ad (adult-directed or neutral), ap (approval), at (attention) and pr (prohibition).

The audio data is presented as flac compressed, one or two channel, 22 kHz, 16-bit linear PCM.



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