Sound Retrieval From Voice Imitation Queries In Collaborative Databases

Blancas DS, Janer J. Sound Retrieval From Voice Imitation Queries In Collaborative Databases. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper P2-8. Available from: https://aes.org/publications/elibrary-page/?id=17094

@inproceedings{Blancas2014_17094,
  author = {Blancas, David Sanchez and Janer, Jordi},
  title = {{Sound Retrieval From Voice Imitation Queries In Collaborative Databases}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  note = {Paper P2-8},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17094}
}

TY  - CPAPER
TI  - Sound Retrieval From Voice Imitation Queries In Collaborative Databases
AU  - Blancas, David Sanchez
AU  - Janer, Jordi
T2  - AES Conference: 53rd International Conference: Semantic Audio
M1  - Paper P2-8
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17094
PB  - Audio Engineering Society
LA  - en
AB  - The retrieval of sounds in large databases can benefit from novel paradigms that exploit human-computer interaction. This work introduces the use of non-speech voice imitations as input queries in a large user-contributed sound repository. We address first the analysis of the human voice properties when imitating sounds. Second, we study the automatic classification of voice imitations in clusters by means of user experiments. Finally, we present an evaluation that demonstrates the potential of a content-based classification using voice imitations as input queries. Future perspectives for using voice interfaces in sound assets retrieval are exposed.
ER  -