Subadaptive piecewise linear quantization for speech signal (64 kbit/s) compression. - Hiroto Saito; Isao Umoto; Akira Sasou; Shogo Nakamura; Yoshihiko Horio; Tahiro Kubota (IEEE Trans. Speech Audio Process., 1996)

A low bit rate speech coding method using a formant-articulatory parameter nomogram. - Hiroshi Ohmura; Akira Sasou; Kazuyo Tanaka (INTERSPEECH, 2000)

Glottal excitation modeling using HMM with application to robust analysis of speech signal. - Akira Sasou; Kazuyo Tanaka (INTERSPEECH, 2000)

Robust LP analysis using glottal source HMM with application to high-pitched and noise corrupted speech. - Akira Sasou; Kazuyo Tanaka (INTERSPEECH, 2001)

A waveform generation model based approach for segregation of monaural mixture sound. - Akira Sasou; Kazuyo Tanaka (EUSIPCO, 2002)

Adaptive estimation of time-varying features from high-pitched speech based on an excitation source HMM. - Akira Sasou; Kazuyo Tanaka (INTERSPEECH, 2002)

Adaptation of acoustic model using the gain-adapted HMM decomposition method. - Akira Sasou; Futoshi Asano; Kazuyo Tanaka; Satoshi Nakamura 001 (INTERSPEECH, 2003)

A waveform generation model-based approach for segregation of monaural mixed sound. - Akira Sasou; Kazuyo Tanaka (Signal Process., 2003)

HMM-based feature compensation method: an evaluation using the AURORA2. - Akira Sasou; Kazuyo Tanaka; Satoshi Nakamura 001; Futoshi Asano (INTERSPEECH, 2004)

An Auto-Regressive, Non-Stationary Excited Signal Parameter Estimation Method and an Evaluation of a Singing-Voice Recognition. - Akira Sasou; Masataka Goto; Satoru Hayamizu; Kazuyo Tanaka (ICASSP (1), 2005)

CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework. - Masakiyo Fujimoto; Satoshi Nakamura 001; Toshiki Endo; Kazuya Takeda; Chiyomi Miyajima; Shingo Kuroiwa; Takeshi Yamada; Norihide Kitaoka; Kazumasa Yamamoto; Mitsunori Mizumachi; Takanobu Nishiura; Akira Sasou (ICDE Workshops, 2005)

AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition. - Satoshi Nakamura 001; Kazuya Takeda; Kazumasa Yamamoto; Takeshi Yamada; Shingo Kuroiwa; Norihide Kitaoka; Takanobu Nishiura; Akira Sasou; Mitsunori Mizumachi; Chiyomi Miyajima; Masakiyo Fujimoto; Toshiki Endo (IEICE Trans. Inf. Syst., 2005)

Singing voice recognition considering high-pitched and prolonged sounds. - Akira Sasou (EUSIPCO, 2006)

HMM-based noise-robust feature compensation. - Akira Sasou; Futoshi Asano; Satoshi Nakamura 001; Kazuyo Tanaka (Speech Commun., 2006)

Noise robust speech recognition for voice driven wheelchair. - Akira Sasou; Hiroaki Kojima (INTERSPEECH, 2007)

Head-Orientation-Estimation-Integrated Speech Recognition for the Smart-Chair. - Akira Sasou (ISUC, 2008)

Development of a 3D pointing voice interface using a three-axis microphone array. - Yasuharu Hashimoto; Akira Sasou (RO-MAN, 2009)

Acoustic head orientation estimation applied to powered wheelchair control. - Akira Sasou (ROBOCOMM, 2009)

Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair. - Akira Sasou; Hiroaki Kojima (EURASIP J. Adv. Signal Process., 2009)

Acoustic head gesture recognition and its applications. - Akira Sasou; Yasuharu Hashimoto; Katsuhiko Sakaue (AVSP, 2010)

Acoustic-based recognition of head gestures accompanying speech. - Akira Sasou; Yasuharu Hashimoto; Katsuhiko Sakaue (INTERSPEECH, 2010)

Powered Wheelchair Control Using Acoustic-Based Recognition of Head Gesture Accompanying Speech. - Akira Sasou (INTERSPEECH, 2011)

Acoustic surveillance based on Higher-order Local Auto-Correlation. - Akira Sasou (MLSP, 2011)

Automatic Topology Generation of Glottal Source HMM. - Akira Sasou (INTERSPEECH, 2012)

Acoustic novelty detection based on AHLAC and NMF. - Akira Sasou; Nyamerdene Odontsengel (ISPACS, 2012)

Evaluation of fundamental validity in applying AR-HMM with automatic topology generation to pathology voice analysis. - Akira Sasou (INTERSPEECH, 2013)

Accuracy evaluation of esophageal voice analysis based on automatic topology generated-voicing source HMM. - Akira Sasou (INTERSPEECH, 2014)

Voice-pathology analysis based on AR-HMM. - Akira Sasou (APSIPA, 2016)

Automatic identification of pathological voice quality based on the GRBAS categorization. - Akira Sasou (APSIPA, 2017)

An Acoustic-based Tracking System for Monitoring Elderly People Living Alone. - Akira Sasou; Nyamerdene Odontsengel; Shumpei Matsuoka (ICT4AWE, 2018)

Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative. - Akira Sasou (Speech Commun., 2018)

Generation of Artificial FO-contours of Emotional Speech with Generative Adversarial Networks. - Shumpei Matsuoka; Yao Jiang; Akira Sasou (SSCI, 2019)

Automatic Naturalness Recognition from Acted Speech Using Neural Networks. - Bagus Tris Atmaja; Akira Sasou; Masato Akagi (APSIPA ASC, 2021)

Effect of different splitting criteria on the performance of speech emotion recognition. - Bagus Tris Atmaja; Akira Sasou (TENCON, 2021)

Deep Residual Learning With Dilated Causal Convolution Extreme Learning Machine. - Akira Sasou (IEEE Access, 2021)

Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic Embedding. - Bagus Tris Atmaja; Zanjabila; Akira Sasou (ACIIW, 2022)

Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition. - Bagus Tris Atmaja; Akira Sasou (IEEE Access, 2022)

Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings. - Bagus Tris Atmaja; Akira Sasou; Masato Akagi (IEEE Access, 2022)

Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough Segmentation, and Data Augmentation. - Bagus Tris Atmaja; Zanjabila; Suyanto; Akira Sasou (CoRR, 2022)

Effects of Data Augmentations on Speech Emotion Recognition. - Bagus Tris Atmaja; Akira Sasou (Sensors, 2022)

Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations. - Bagus Tris Atmaja; Akira Sasou (Sensors, 2022)

Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion. - Bagus Tris Atmaja; Akira Sasou; Masato Akagi (Speech Commun., 2022)

Multilingual, Cross-lingual, and Monolingual Speech Emotion Recognition on EmoFilm Dataset. - Bagus Tris Atmaja; Akira Sasou (APSIPA ASC, 2023)

Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. - Bagus Tris Atmaja; Akira Sasou (APSIPA ASC, 2023)

Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks. - Bagus Tris Atmaja; Akira Sasou (ICASSP, 2023)

Comparison of GIF- and SSL-based Features in Pathological-voice Detection. - Akira Sasou; Yang Chen (INTERSPEECH, 2023)

Deep Extreme Learning Machine With its Application to Body-Conducted-Sound-Based Handwork Recognition. - Akira Sasou; Satoki Ogiso; Akihiko Nagakubo (MLSP, 2023)

Uncertainty-Based Ensemble Learning for Speech Classification. - Bagus Tris Atmaja; Akira Sasou; Felix Burkhardt (O-COCOSDA, 2024)

Multi-Label Emotion Share Regression from Speech Using Pre-Trained Self-Supervised Learning Models. - Bagus Tris Atmaja; Akira Sasou (TENCON, 2024)

Performance-Weighted Ensemble Learning for Speech Classification. - Bagus Tris Atmaja; Akira Sasou; Felix Burkhardt (ICAIIC, 2025)

Pathological Voice Detection From Sustained Vowels: Handcrafted vs. Self-supervised Learning. - Bagus Tris Atmaja; Akira Sasou (ICASSP Workshops, 2025)