| Analysis and detection of pathological voice using glottal source features SR Kadiri, P Alku IEEE Journal of Selected Topics in Signal Processing 14 (2), 367-379, 2020 | 103 | 2020 |
| Analysis of emotional speech—A review P Gangamohan, SR Kadiri, B Yegnanarayana Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016 | 103 | 2016 |
| SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala Interspeech, 107-111, 2017 | 72 | 2017 |
| Epoch extraction from emotional speech using single frequency filtering approach SR Kadiri, B Yegnanarayana Speech Communication 86, 52-63, 2017 | 71 | 2017 |
| Analysis of excitation source features of speech for emotion recognition. SR Kadiri, P Gangamohan, SV Gangashetty, B Yegnanarayana Interspeech, 1324-1328, 2015 | 64 | 2015 |
| Analysis of emotional speech at subsegmental level. P Gangamohan, SR Kadiri, B Yegnanarayana Interspeech 2013, 1916-1920, 2013 | 54 | 2013 |
| Study of formant modification for children ASR HK Kathania, SR Kadiri, P Alku, M Kurimo ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
| Excitation features of speech for speaker-specific emotion detection SR Kadiri, P Alku IEEE Access 8, 60382-60391, 2020 | 40 | 2020 |
| Analysis of singing voice for epoch extraction using zero frequency filtering method SR Kadiri, B Yegnanarayana 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 35 | 2015 |
| The effect of the MFCC frame length in automatic voice pathology detection S Tirronen, SR Kadiri, P Alku Journal of Voice 38 (5), 975-982, 2024 | 34 | 2024 |
| Wav2vec-based detection and severity level classification of dysarthria from speech F Javanmardi, S Tirronen, M Kodali, SR Kadiri, P Alku ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 33 | 2023 |
| Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC). SR Kadiri, B Yegnanarayana Interspeech, 441-445, 2018 | 32 | 2018 |
| Excitation features of speech for emotion recognition using neutral speech as reference SR Kadiri, P Gangamohan, SV Gangashetty, P Alku, B Yegnanarayana Circuits, Systems, and Signal Processing 39 (9), 4459-4481, 2020 | 31 | 2020 |
| Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs). SR Kadiri, B Yegnanarayana Interspeech, 232-236, 2018 | 31 | 2018 |
| Wav2vec2-based paralinguistic systems to recognise vocalised emotions and stuttering T Grósz, D Porjazovski, Y Getman, S Kadiri, M Kurimo Proceedings of the 30th ACM International Conference on Multimedia, 7026-7029, 2022 | 30 | 2022 |
| Analysis and classification of phonation types in speech and singing voice SR Kadiri, P Alku, B Yegnanarayana Speech Communication 118, 33-47, 2020 | 30 | 2020 |
| Parkinson's disease detection from speech using single frequency filtering cepstral coefficients S Kadiri, R Kethireddy, P Alku Interspeech, 4971-4975, 2020 | 30 | 2020 |
| Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients. KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala Interspeech, 2596-2600, 2017 | 30 | 2017 |
| Vowel-based non-uniform prosody modification for emotion conversion HK Vydana, SR Kadiri, AK Vuppala Circuits, Systems, and Signal Processing 35, 1643-1663, 2016 | 28 | 2016 |
| Excitation source features for discrimination of anger and happy emotions P Gangamohan, SR Kadiri, SV Gangashetty, B Yegnanarayana Interspeech, 1253-1257, 2014 | 28 | 2014 |
Paavo AlkuAalto UniversityE-mailová adresa ověřena na: aalto.fi