Att-HACK: An Expressive Speech Database with Social Attitudes
Not on the map. Why?
Abstract (arXiv)
This paper presents Att-HACK, the first large database of acted speech with social attitudes. Available databases of expressive speech are rare and very often restricted to the primary emotions: anger, joy, sadness, fear. This greatly limits the scope of the research on expressive speech. Besides, a fundamental aspect of speech prosody is always ignored and missing from such databases: its variety, i.e. the possibility to repeat an utterance while varying its prosody. This paper represents a first attempt to widen the scope of expressivity in speech, by providing a database of acted speech with social attitudes: friendly, seductive, dominant, and distant. The proposed database comprises 25 speakers interpreting 100 utterances in 4 social attitudes, with 3-5 repetitions each per attitude for a total of around 30 hours of speech. The Att-HACK is freely available for academic research under a Creative Commons Licence.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 5; 2022: 3; 2023: 1; 2024: 1; 2025: 1; 2026: 2.
13 papers.
Sort:
- 2021LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speechcited by 46
- 2023LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speechcited by 17
- 2022A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systemscited by 14
- 2021Speaker Attentive Speech Emotion Recognitioncited by 9
- 2024Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settingscited by 6
- 2021RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responsescited by 5
- 2021Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernelscited by 3
- 2021High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modelingcited by 3
- 2022SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformerscited by 2
- 2026Pantagruel: Unified Self-Supervised Encoders for French Text and Speechcited by 2
- 2025SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech Systemcited by 1
- 2022Automatic Spoken Language Identification using a Time-Delay Neural Networkcited by 0
1 more
- 2026Enriching Speech Emotion Representations with Conversational Context22 Sep 2026
- 2026Pantagruel: Unified Self-Supervised Encoders for French Text and Speech9 Jan 2026
- 2025SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech System29 Mar 2025
- 2024Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings19 Jul 2024
- 2023LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech11 Sep 2023
- 2022SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers4 Nov 2022
- 2022Automatic Spoken Language Identification using a Time-Delay Neural Network19 May 2022
- 2022A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems4 Apr 2022
- 2021RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses1 Nov 2021
- 2021High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling20 May 2021
- 2021LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech23 Apr 2021
- 2021Speaker Attentive Speech Emotion Recognition15 Apr 2021
- 2021LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speechcited by 46
- 2023LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speechcited by 17
- 2022A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systemscited by 14
- 2021Speaker Attentive Speech Emotion Recognitioncited by 9
- 2024Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settingscited by 6
- 2021RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responsescited by 5
- 2021Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernelscited by 3
- 2021High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modelingcited by 3
- 2022SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformerscited by 2
- 2026Pantagruel: Unified Self-Supervised Encoders for French Text and Speechcited by 2
- 2025SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech Systemcited by 1
- 2022Automatic Spoken Language Identification using a Time-Delay Neural Networkcited by 0
12 most cited of 13 All 13 (JSON)
- 2026Enriching Speech Emotion Representations with Conversational Context22 Sep 2026
- 2026Pantagruel: Unified Self-Supervised Encoders for French Text and Speech9 Jan 2026
- 2025SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech System29 Mar 2025
- 2024Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings19 Jul 2024
- 2023LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech11 Sep 2023
- 2022SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers4 Nov 2022
- 2022Automatic Spoken Language Identification using a Time-Delay Neural Network19 May 2022
- 2022A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems4 Apr 2022
- 2021RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses1 Nov 2021
- 2021High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling20 May 2021
- 2021LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech23 Apr 2021
- 2021Speaker Attentive Speech Emotion Recognition15 Apr 2021
12 newest of 13 All 13 (JSON)