Paavo Alku

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 116

Top Venues

Publications

Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
A comparison of data augmentation methods in voice pathology detection. Comput. Speech Lang. 83 (2024)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
Pre-trained models for detection and severity level classification of dysarthria from speech. Speech Commun. 158 (2024)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Reddy Kadiri
AVID: A speech database for machine learning studies on vocal intensity. Speech Commun. 157 (2024)
Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku
Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals. Comput. Speech Lang. 83 (2024)
Yagnavajjula Madhu Keerthana, Mittapalle Kiran Reddy, Paavo Alku, K. Sreenivasa Rao, Pabitra Mitra
Automatic classification of neurological voice disorders using wavelet scattering features. Speech Commun. 157 (2024)
Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers. Comput. Speech Lang. 83 (2024)
Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals. CoRR (2023)
Dhananjaya Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. CoRR (2023)
Mittapalle Kiran Reddy, Paavo Alku
Exemplar-Based Sparse Representations for Detection of Parkinson's Disease From Speech. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. INTERSPEECH (2023)
Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. ICASSP (2023)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction. Comput. Speech Lang. 78 (2023)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. CoRR (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. ICASSP (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech. CoRR (2023)
Sudarsana Reddy Kadiri, Paavo Alku
Analysis and Detection of Pathological Voice using Glottal Source Features. CoRR (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings. INTERSPEECH (2023)
Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda
Refining a deep learning-based formant tracker using linear prediction methods. Comput. Speech Lang. 81 (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Laura Laaksonen, Paavo Alku
Automatic Classification of Vocal Intensity Category from Speech. ICASSP (2023)
Yuanyuan Liu, Mittapalle Kiran Reddy, Nelly Penttilä, Tiina Ihalainen, Paavo Alku, Okko Räsänen
Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda
Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods. CoRR (2023)
Mittapalle Kiran Reddy, Yagnavajjula Madhu Keerthana, Paavo Alku
Classification of functional dysphonia using the tunable Q wavelet transform. Speech Commun. 155 (2023)
Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku
Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals. INTERSPEECH (2022)
Mittapalle Kiran Reddy, Hilla Pohjalainen, Pyry Helkkula, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku
Glottal flow characteristics in vowels produced by speakers with heart failure. Speech Commun. 137 (2022)
Dhananjaya Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. CoRR (2022)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers. INTERSPEECH (2022)
Sudarsana Reddy Kadiri, Paavo Alku
Subjective Evaluation of Basic Emotions from Audio-Visual Data. Sensors 22 (13) (2022)
Mittapalle Kiran Reddy, Yagnavajjula Madhu Keerthana, Paavo Alku
End-to-End Pathological Speech Detection Using Wavelet Scattering Network. IEEE Signal Process. Lett. 29 (2022)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
A formant modification method for improved ASR of children's speech. Speech Commun. 136 (2022)
Sudarsana Reddy Kadiri, Paavo Alku, Bayya Yegnanarayana
Extraction and Utilization of Excitation Information of Speech: A Review. Proc. IEEE 109 (12) (2021)
Sudarsana Reddy Kadiri, Paavo Alku
Glottal features for classification of phonation type from speech and neck surface accelerometer signals. Comput. Speech Lang. 70 (2021)
N. P. Narendra, Björn W. Schuller, Paavo Alku
The Detection of Parkinson's Disease From Speech Using Voice Source Information. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Mittapalle Kiran Reddy, Pyry Helkkula, Y. Madhu Keerthana, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku
The automatic detection of heart failure using speech signals. Comput. Speech Lang. 69 (2021)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
Spectral modification for recognition of children's speech undermismatched conditions. NoDaLiDa (2021)
N. P. Narendra, Paavo Alku
Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features. Comput. Speech Lang. 65 (2021)
Dhananjaya N. Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. IEEE Access 9 (2021)
Mittapalle Kiran Reddy, Paavo Alku
A Comparison of Cepstral Features in the Detection of Pathological Voices by Varying the Input and Filterbank of the Cepstrum Computation. IEEE Access 9 (2021)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
Study of Formant Modification for Children ASR. ICASSP (2020)
Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas W. D. Evans, Md. Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Zhen-Hua Ling
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech. Comput. Speech Lang. 64 (2020)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Analysis and classification of phonation types in speech and singing voice. Speech Commun. 118 (2020)
Sudarsana Reddy Kadiri, P. Gangamohan, Suryakanth V. Gangashetty, Paavo Alku, B. Yegnanarayana
Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference. Circuits Syst. Signal Process. 39 (9) (2020)
Sudarsana Reddy Kadiri, Paavo Alku
Excitation Features of Speech for Speaker-Specific Emotion Detection. IEEE Access 8 (2020)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Comparison of Glottal Closure Instants Detection Algorithms for Emotional Speech. ICASSP (2020)
Sudarsana Reddy Kadiri, Paavo Alku
Analysis and Detection of Pathological Voice Using Glottal Source Features. IEEE J. Sel. Top. Signal Process. 14 (2) (2020)
Sudarsana Reddy Kadiri, Rashmi Kethireddy, Paavo Alku
Parkinson's Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH (2020)
Mittapalle Kiran Reddy, Paavo Alku, Krothapalli Sreenivasa Rao
Detection of Specific Language Impairment in Children Using Glottal Source Features. IEEE Access 8 (2020)
Krishna Gurugubelli, Anil Kumar Vuppala, N. P. Narendra, Paavo Alku
Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels. Speech Commun. 125 (2020)
Rashmi Kethireddy, Sudarsana Reddy Kadiri, Paavo Alku, Suryakanth V. Gangashetty
Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification. IEEE Access 8 (2020)
N. P. Narendra, Paavo Alku
Glottal Source Information for Pathological Voice Detection. IEEE Access 8 (2020)
Dhananjaya N. Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
N. P. Narendra, Paavo Alku
Automatic intelligibility assessment of dysarthric speech using glottal parameters. Speech Commun. 123 (2020)
Bajibabu Bollepalli, Lauri Juvela, Paavo Alku
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis. CoRR (2019)
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram. CoRR (2019)
Shreyas Seshadri, Lauri Juvela, Junichi Yamagishi, Okko Räsänen, Paavo Alku
Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion. ICASSP (2019)
Sudarsana Reddy Kadiri, Paavo Alku
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech. INTERSPEECH (2019)
Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP (2019)
Thomas Drugman, Paavo Alku, Abeer Alwan, Bayya Yegnanarayana
Glottal Source Processing: from Analysis to Applications. CoRR (2019)
Tiina Murtola, Jarmo Malinen, Ahmed Geneid, Paavo Alku
Analysis of phonation onsets in vowel production, using information from glottal area and flow estimate. Speech Commun. 109 (2019)
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
Waveform Generation for Text-to-speech Synthesis Using Pitch-synchronous Multi-scale Generative Adversarial Networks. ICASSP (2019)
Bajibabu Bollepalli, Lauri Juvela, Paavo Alku
Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System. INTERSPEECH (2019)
N. P. Narendra, Manu Airaksinen, Brad H. Story, Paavo Alku
Estimation of the glottal source from coded telephone speech using deep neural networks. Speech Commun. 106 (2019)
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-Spectrogram. INTERSPEECH (2019)
Shreyas Seshadri, Lauri Juvela, Paavo Alku, Okko Räsänen
Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. INTERSPEECH (2019)
Paavo Alku, Tiina Murtola, Jarmo Malinen, Juha Kuortti, Brad H. Story, Manu Airaksinen, Mika Salmi, Erkki Vilkman, Ahmed Geneid
OPENGLOT - An open environment for the evaluation of glottal inverse filtering. Speech Commun. 107 (2019)
N. P. Narendra, Paavo Alku
Dysarthric speech classification from coded telephone speech using glottal features. Speech Commun. 110 (2019)
Lauri Juvela, Bajibabu Bollepalli, Vassilis Tsiaras, Paavo Alku
GlotNet - A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 27 (6) (2019)
Emma Jokinen, Rahim Saeidi, Tomi Kinnunen, Paavo Alku
Vocal effort compensation for MFCC feature extraction in a shouted versus normal speaker recognition task. Comput. Speech Lang. 53 (2019)
Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas W. D. Evans, Md. Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Fergus Henderson, Rob Clark, Yu Zhang, Quan Wang, Ye Jia, Kai Onuma, Koji Mushika, Takashi Kaneda, Yuan Jiang, Li-Juan Liu, Yi-Chiao Wu, Wen-Chin Huang, Tomoki Toda, Kou Tanaka, Hirokazu Kameoka, Ingmar Steiner, Driss Matrouf, Jean-François Bonastre, Avashna Govender, Srikanth Ronanki, Jing-Xuan Zhang, Zhen-Hua Ling
The ASVspoof 2019 database. CoRR (2019)
Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku
Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. IEEE Access 7 (2019)
Bajibabu Bollepalli, Lauri Juvela, Manu Airaksinen, Cassia Valentini-Botinhao, Paavo Alku
Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks. Speech Commun. 110 (2019)
Manu Airaksinen, Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
A Comparison Between STRAIGHT, Glottal, and Sinusoidal Vocoding in Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 26 (9) (2018)
Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks. ICASSP (2018)
Ville Vestman, Dhananjaya N. Gowda, Md. Sahidullah, Paavo Alku, Tomi Kinnunen
Speaker recognition from whispered speech: A tutorial survey and an application of time-varying linear prediction. Speech Commun. 99 (2018)
Bajibabu Bollepalli, Lauri Juvela, Paavo Alku
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention. CoRR (2018)
Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speaker-independent raw waveform model for glottal excitation. CoRR (2018)
Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speaker-independent Raw Waveform Model for Glottal Excitation. INTERSPEECH (2018)
Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speech waveform synthesis from MFCC sequences with generative adversarial networks. CoRR (2018)
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks. CoRR (2018)
N. P. Narendra, Paavo Alku
Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences. INTERSPEECH (2018)
Sofoklis Kakouros, Okko Räsänen, Paavo Alku
Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions. Speech Commun. 103 (2018)
Tiina Murtola, Paavo Alku, Jarmo Malinen, Ahmed Geneid
Parameterization of a computational physical model for glottal flow using inverse filtering and high-speed videoendoscopy. Speech Commun. 96 (2018)
Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH (2018)
Parham Mokhtari, Brad H. Story, Paavo Alku, Hiroshi Ando
Estimation of the glottal flow from speech pressure signals: Evaluation of three variants of iterative adaptive inverse filtering using computational physical modelling of voice production. Speech Commun. 104 (2018)
Ana Ramírez López, Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs. INTERSPEECH (2017)
N. P. Narendra, Manu Airaksinen, Paavo Alku
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. INTERSPEECH (2017)
Tomi Kinnunen, Lauri Juvela, Paavo Alku, Junichi Yamagishi
Non-parallel voice conversion using i-vector PLDA: towards unifying speaker verification and transformation. ICASSP (2017)
Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku
Lombard speech synthesis using long short-term memory recurrent neural networks. ICASSP (2017)
Ana Ramírez López, Rahim Saeidi, Lauri Juvela, Paavo Alku
Normal-to-shouted speech spectral mapping for speaker recognition under vocal effort mismatch. ICASSP (2017)
Ville Vestman, Dhananjaya N. Gowda, Md. Sahidullah, Paavo Alku, Tomi Kinnunen
Time-Varying Autoregressions for Speaker Verification in Reverberant Conditions. INTERSPEECH (2017)
Emma Jokinen, Ulpu Remes, Paavo Alku
Intelligibility Enhancement of Telephone Speech Using Gaussian Process Regression for Normal-to-Lombard Spectral Tilt Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 25 (10) (2017)
Bajibabu Bollepalli, Lauri Juvela, Paavo Alku
Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis. INTERSPEECH (2017)
Manu Airaksinen, Tomas Bäckström, Paavo Alku
Quadratic Programming Approach to Glottal Inverse Filtering by Joint Norm-1 and Norm-2 Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 25 (5) (2017)
Dong Liu, Elina Kankare, Anne-Maria Laukkanen, Paavo Alku
Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types. Biomed. Signal Process. Control. 36 (2017)
Paavo Alku, Rahim Saeidi
The Linear Predictive Modeling of Speech From Higher-Lag Autocorrelation Coefficients Applied to Noise-Robust Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25 (8) (2017)
Sofoklis Kakouros, Okko Räsänen, Paavo Alku
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. INTERSPEECH (2017)
Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku
Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction. IEEE Signal Process. Lett. 24 (4) (2017)
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
Reducing Mismatch in Training of DNN-Based Glottal Excitation Models in a Statistical Parametric Text-to-Speech System. INTERSPEECH (2017)
Manu Airaksinen, Paavo Alku
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs. INTERSPEECH (2017)
Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku
Frequency-warped time-weighted linear prediction for glottal vocoding. ICASSP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paavo Alku