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Akira Sasou
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2020 – today
- 2023
- [c34]Bagus Tris Atmaja, Akira Sasou:
Multilingual, Cross-lingual, and Monolingual Speech Emotion Recognition on EmoFilm Dataset. APSIPA ASC 2023: 1019-1025 - [c33]Bagus Tris Atmaja, Akira Sasou:
Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. APSIPA ASC 2023: 1026-1029 - [c32]Bagus Tris Atmaja, Akira Sasou:
Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks. ICASSP 2023: 1-5 - [c31]Akira Sasou, Yang Chen:
Comparison of GIF- and SSL-based Features in Pathological-voice Detection. INTERSPEECH 2023: 2893-2897 - [c30]Akira Sasou, Satoki Ogiso, Akihiko Nagakubo:
Deep Extreme Learning Machine With its Application to Body-Conducted-Sound-Based Handwork Recognition. MLSP 2023: 1-6 - [i3]Bagus Tris Atmaja, Akira Sasou:
Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. CoRR abs/2309.11014 (2023) - 2022
- [j12]Bagus Tris Atmaja
, Akira Sasou
Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings. IEEE Access 10: 72381-72387 (2022) - [j11]Bagus Tris Atmaja
Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition. IEEE Access 10: 124396-124407 (2022) - [j10]Bagus Tris Atmaja
Effects of Data Augmentations on Speech Emotion Recognition. Sensors 22(16): 5941 (2022) - [j9]Bagus Tris Atmaja
Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations. Sensors 22(17): 6369 (2022) - [j8]Bagus Tris Atmaja
Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion. Speech Commun. 140: 11-28 (2022) - [c29]Bagus Tris Atmaja, Zanjabila, Akira Sasou:
Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic Embedding. ACIIW 2022: 1-6 - [i2]Bagus Tris Atmaja, Zanjabila, Suyanto, Akira Sasou:
Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough Segmentation, and Data Augmentation. CoRR abs/2210.05843 (2022) - [i1]Bagus Tris Atmaja, Akira Sasou:
Effect of different splitting criteria on the performance of speech emotion recognition. CoRR abs/2210.14501 (2022) - 2021
- [j7]Akira Sasou
Deep Residual Learning With Dilated Causal Convolution Extreme Learning Machine. IEEE Access 9: 165708-165718 (2021) - [c28]Bagus Tris Atmaja, Akira Sasou, Masato Akagi:
Automatic Naturalness Recognition from Acted Speech Using Neural Networks. APSIPA ASC 2021: 731-736 - [c27]Bagus Tris Atmaja
Effect of different splitting criteria on the performance of speech emotion recognition. TENCON 2021: 760-764
2010 – 2019
- 2019
- [c26]Shumpei Matsuoka, Yao Jiang, Akira Sasou:
Generation of Artificial FO-contours of Emotional Speech with Generative Adversarial Networks. SSCI 2019: 1030-1034 - 2018
- [j6]Akira Sasou:
Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative. Speech Commun. 104: 113-128 (2018) - [c25]Akira Sasou, Nyamerdene Odontsengel, Shumpei Matsuoka:
An Acoustic-based Tracking System for Monitoring Elderly People Living Alone. ICT4AWE 2018: 89-95 - 2017
- [c24]Akira Sasou:
Automatic identification of pathological voice quality based on the GRBAS categorization. APSIPA 2017: 1243-1247 - 2016
- [c23]Akira Sasou:
Voice-pathology analysis based on AR-HMM. APSIPA 2016: 1-4 - 2014
- [c22]Akira Sasou:
Accuracy evaluation of esophageal voice analysis based on automatic topology generated-voicing source HMM. INTERSPEECH 2014: 1381-1385 - 2013
- [c21]Akira Sasou:
Evaluation of fundamental validity in applying AR-HMM with automatic topology generation to pathology voice analysis. INTERSPEECH 2013: 1673-1676 - 2012
- [c20]Akira Sasou:
Automatic Topology Generation of Glottal Source HMM. INTERSPEECH 2012: 1616-1619 - [c19]Akira Sasou, Nyamerdene Odontsengel:
Acoustic novelty detection based on AHLAC and NMF. ISPACS 2012: 872-875 - 2011
- [c18]Akira Sasou:
Powered Wheelchair Control Using Acoustic-Based Recognition of Head Gesture Accompanying Speech. INTERSPEECH 2011: 3029-3032 - [c17]Akira Sasou:
Acoustic surveillance based on Higher-order Local Auto-Correlation. MLSP 2011: 1-5 - 2010
- [c16]Akira Sasou, Yasuharu Hashimoto, Katsuhiko Sakaue:
Acoustic head gesture recognition and its applications. AVSP 2010: 3 - [c15]Akira Sasou, Yasuharu Hashimoto, Katsuhiko Sakaue:
Acoustic-based recognition of head gestures accompanying speech. INTERSPEECH 2010: 506-509
2000 – 2009
- 2009
- [j5]Akira Sasou
Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair. EURASIP J. Adv. Signal Process. 2009 (2009) - [c14]Yasuharu Hashimoto, Akira Sasou:
Development of a 3D pointing voice interface using a three-axis microphone array. RO-MAN 2009: 1186-1191 - [c13]Akira Sasou:
Acoustic head orientation estimation applied to powered wheelchair control. ROBOCOMM 2009: 1-6 - 2008
- [c12]Akira Sasou
Head-Orientation-Estimation-Integrated Speech Recognition for the Smart-Chair. ISUC 2008: 482-489 - 2007
- [c11]Akira Sasou, Hiroaki Kojima:
Noise robust speech recognition for voice driven wheelchair. INTERSPEECH 2007: 250-253 - 2006
- [j4]Akira Sasou
HMM-based noise-robust feature compensation. Speech Commun. 48(9): 1100-1111 (2006) - [c10]Akira Sasou:
Singing voice recognition considering high-pitched and prolonged sounds. EUSIPCO 2006: 1-4 - 2005
- [j3]Satoshi Nakamura, Kazuya Takeda, Kazumasa Yamamoto, Takeshi Yamada, Shingo Kuroiwa, Norihide Kitaoka, Takanobu Nishiura, Akira Sasou, Mitsunori Mizumachi, Chiyomi Miyajima, Masakiyo Fujimoto, Toshiki Endo:
AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition. IEICE Trans. Inf. Syst. 88-D(3): 535-544 (2005) - [c9]Akira Sasou, Masataka Goto
An Auto-Regressive, Non-Stationary Excited Signal Parameter Estimation Method and an Evaluation of a Singing-Voice Recognition. ICASSP (1) 2005: 237-240 - [c8]Masakiyo Fujimoto, Satoshi Nakamura, Toshiki Endo, Kazuya Takeda, Chiyomi Miyajima, Shingo Kuroiwa, Takeshi Yamada, Norihide Kitaoka, Kazumasa Yamamoto, Mitsunori Mizumachi, Takanobu Nishiura, Akira Sasou:
CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework. ICDE Workshops 2005: 1208 - 2004
- [c7]Akira Sasou, Kazuyo Tanaka, Satoshi Nakamura, Futoshi Asano:
HMM-based feature compensation method: an evaluation using the AURORA2. INTERSPEECH 2004: 121-124 - 2003
- [j2]Akira Sasou
A waveform generation model-based approach for segregation of monaural mixed sound. Signal Process. 83(3): 561-574 (2003) - [c6]Akira Sasou, Futoshi Asano, Kazuyo Tanaka, Satoshi Nakamura:
Adaptation of acoustic model using the gain-adapted HMM decomposition method. INTERSPEECH 2003: 29-32 - 2002
- [c5]Akira Sasou, Kazuyo Tanaka:
A waveform generation model based approach for segregation of monaural mixture sound. EUSIPCO 2002: 1-4 - [c4]Akira Sasou, Kazuyo Tanaka:
Adaptive estimation of time-varying features from high-pitched speech based on an excitation source HMM. INTERSPEECH 2002: 2161-2164 - 2001
- [c3]Akira Sasou, Kazuyo Tanaka:
Robust LP analysis using glottal source HMM with application to high-pitched and noise corrupted speech. INTERSPEECH 2001: 2443-2446 - 2000
- [c2]Hiroshi Ohmura, Akira Sasou, Kazuyo Tanaka:
A low bit rate speech coding method using a formant-articulatory parameter nomogram. INTERSPEECH 2000: 202-205 - [c1]Akira Sasou, Kazuyo Tanaka:
Glottal excitation modeling using HMM with application to robust analysis of speech signal. INTERSPEECH 2000: 704-707
1990 – 1999
- 1996
- [j1]Hiroto Saito, Isao Umoto, Akira Sasou, Shogo Nakamura, Yoshihiko Horio, Tahiro Kubota:
Subadaptive piecewise linear quantization for speech signal (64 kbit/s) compression. IEEE Trans. Speech Audio Process. 4(5): 379-382 (1996)
Coauthor Index
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