Exploratory evaluation of speech content masking
Exploratory evaluation of speech content masking
Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content. We introduce a toy problem that explores an emerging type of privacy called “content masking” which conceals selected words and phrases in speech. In our efforts to define this problem space, we evaluate an introductory baseline masking technique based on modifying sequences of discrete phone representations (phone codes) produced from a pre-trained vector-quantized variational autoencoder (VQ-VAE) and re-synthesized using WaveRNN. We investigate three different masking locations and three types of masking strategies: noise substitution, word deletion, and phone sequence reversal. Our work attempts to characterize how masking affects two downstream tasks: automatic speech recognition (ASR) and automatic speaker verification (ASV). We observe how the different masks types and locations impact these downstream tasks and discuss how these issues may influence privacy goals.
215-219
Williams, Jennifer
3a1568b4-8a0b-41d2-8635-14fe69fbb360
Pizzi, Karla
fb24c310-1e1b-4961-b365-910ab4412a3f
Noe, Paul-Gauthier
94afe056-3442-429e-a900-df9522be3237
Das, Sneha
0857b93b-9275-49c2-9c0d-c193fd15ffb3
18 December 2023
Williams, Jennifer
3a1568b4-8a0b-41d2-8635-14fe69fbb360
Pizzi, Karla
fb24c310-1e1b-4961-b365-910ab4412a3f
Noe, Paul-Gauthier
94afe056-3442-429e-a900-df9522be3237
Das, Sneha
0857b93b-9275-49c2-9c0d-c193fd15ffb3
Williams, Jennifer, Pizzi, Karla, Noe, Paul-Gauthier and Das, Sneha
(2023)
Exploratory evaluation of speech content masking.
In Speech Communication; 15th ITG Conference.
IEEE.
.
(doi:10.30420/456164042).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content. We introduce a toy problem that explores an emerging type of privacy called “content masking” which conceals selected words and phrases in speech. In our efforts to define this problem space, we evaluate an introductory baseline masking technique based on modifying sequences of discrete phone representations (phone codes) produced from a pre-trained vector-quantized variational autoencoder (VQ-VAE) and re-synthesized using WaveRNN. We investigate three different masking locations and three types of masking strategies: noise substitution, word deletion, and phone sequence reversal. Our work attempts to characterize how masking affects two downstream tasks: automatic speech recognition (ASR) and automatic speaker verification (ASV). We observe how the different masks types and locations impact these downstream tasks and discuss how these issues may influence privacy goals.
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Published date: 18 December 2023
Venue - Dates:
15th ITG Conference, , Aachen, Germany, 2023-09-20
Identifiers
Local EPrints ID: 502696
URI: http://eprints.soton.ac.uk/id/eprint/502696
PURE UUID: 3992039c-7197-442f-a101-8f8f1211cdc2
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Date deposited: 04 Jul 2025 16:44
Last modified: 05 Jul 2025 02:09
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Contributors
Author:
Jennifer Williams
Author:
Karla Pizzi
Author:
Paul-Gauthier Noe
Author:
Sneha Das
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