| Analysis of emotional speech—A review P Gangamohan, SR Kadiri, B Yegnanarayana Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016 | 90 | 2016 |
| 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 | 81 | 2020 |
| Epoch extraction from emotional speech using single frequency filtering approach SR Kadiri, B Yegnanarayana Speech Communication 86, 52-63, 2017 | 69 | 2017 |
| 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 | 68 | 2017 |
| Analysis of excitation source features of speech for emotion recognition SR Kadiri, P Gangamohan, SV Gangashetty, B Yegnanarayana Sixteenth annual conference of the international speech communication …, 2015 | 62 | 2015 |
| Analysis of emotional speech at subsegmental level. P Gangamohan, SR Kadiri, B Yegnanarayana Interspeech 2013, 1916-1920, 2013 | 53 | 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 | 39 | 2020 |
| Excitation features of speech for speaker-specific emotion detection SR Kadiri, P Alku IEEE Access 8, 60382-60391, 2020 | 32 | 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 | 32 | 2015 |
| 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 | 29 | 2020 |
| Robust Estimation of Fundamental Frequency Using Single Frequency Filtering Approach. V Pannala, G Aneeja, SR Kadiri, B Yegnanarayana Interspeech, 2155-2159, 2016 | 27 | 2016 |
| Vowel-based non-uniform prosody modification for emotion conversion HK Vydana, SR Kadiri, AK Vuppala Circuits, Systems, and Signal Processing 35, 1643-1663, 2016 | 27 | 2016 |
| 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 | 26 | 2018 |
| Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs). SR Kadiri, B Yegnanarayana Interspeech, 232-236, 2018 | 26 | 2018 |
| Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients. KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala Interspeech, 2596-2600, 2017 | 26 | 2017 |
| Parkinson's disease detection from speech using single frequency filtering cepstral coefficients S Kadiri, R Kethireddy, P Alku Interspeech, 4971-4975, 2020 | 24 | 2020 |
| Excitation source features for discrimination of anger and happy emotions P Gangamohan, SR Kadiri, SV Gangashetty, B Yegnanarayana Tc 100, 1, 2014 | 24 | 2014 |
| 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 | 23 | 2022 |
| A formant modification method for improved ASR of children’s speech HK Kathania, SR Kadiri, P Alku, M Kurimo Speech Communication 136, 98-106, 2022 | 21 | 2022 |
| Analysis and classification of phonation types in speech and singing voice SR Kadiri, P Alku, B Yegnanarayana Speech Communication 118, 33-47, 2020 | 18 | 2020 |
Paavo AlkuAalto UniversityVerified email at aalto.fi
