Page 174 - 《应用声学》2022年第5期
P. 174
850 2022 年 9 月
recognition[C]. Interspeech, 2018. Interspeech, 2017.
[23] Woo S, Park J, Lee J Y, et al. CBAM: convolutional block [30] Jiang P, Fu H, Tao H, et al. Parallelized convolu-
attention module[C]. European Conference on Computer tional recurrent neural network with spectral features
Vision, 2018. for speech emotion recognition[J]. IEEE Access, 2019, 7:
[24] Burkhardt F, Paeschke A, Rolfes M, et al. A database of 90368–90377.
German emotional speech[C]. Interspeech, 2005. [31] 徐华南, 周晓彦, 姜万, 等. 基于 3D 和 1D 多特征融合的语音
[25] Busso C, Bulut M, Lee C, et al. IEMOCAP: interactive 情感识别算法 [J]. 声学技术, 2021, 40(4): 496–502.
emotional dyadic motion capture database[J]. Language Xu Huanan, Zhou Xiaoyan, Jiang Wan, et al. Speech
Resources and Evaluation, 2008, 42(4): 335–359. emotion recognition algorithm based on 3D and 1D
[26] 戴妍妍, 金赟, 马勇, 等. 基于高效通道注意力机制的语音情 multi-feature fusion[J]. Technical Acoustics, 2021, 40(4):
感识别方法 [J]. 信号处理, 2021, 37(10): 1835–1842. 496–502.
Dai Yanyan, Jin Yun, Ma Yong, et al. Speech emotion [32] Wen X C, Liu K H, Zhang W M, et al. The application
recognition based on efficient channel attention[J]. Jour- of capsule neural network based CNN for speech emo-
nal of Signal Processing, 2021, 37(10): 1835–1842. tion recognition[C]. International Conference on Pattern
[27] Schuller B W, Batliner A, Bergler C, et al. Computa- Recognitio, 2021.
tional paralinguistics challenge: elderly emotion, breath- [33] Xia X, Jiang D, Sahli H. Learning salient segments for
ing & masks[C]. Interspeech, 2020. speech emotion recognition using attentive temporal pool-
[28] Satt A, Rozenberg S, Hoory R. Efficient emotion recogni- ing[J]. IEEE Access, 2020, 8: 151740–151752.
tion from speech using deep learning on spectrograms[C]. [34] Tang D, Kuppens P, Geurts L, et al. Adieu recurrence?
Interspeech, 2017. End-to-end speech emotion recognition using a context
[29] Ma X, Wu Z, Jia J, et al. Speech emotion recognition stacking dilated convolutional network[C]. European Sig-
with emotion-pair based framework considering emotion nal Processing Conference, 2021.
distribution information in dimensional emotion space[C].