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Miguel Arjona Ramírez
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2020 – today
- 2024
- [j14]Wesley Beccaro
, Miguel Arjona Ramírez
Analysis of Oral Exams With Speaker Diarization and Speech Emotion Recognition: A Case Study. IEEE Trans. Educ. 67(1): 74-86 (2024) - 2023
- [j13]Pedro H. Pereira
Evaluating Robustness to Noise and Compression of Deep Neural Networks for Keyword Spotting. IEEE Access 11: 53224-53236 (2023) - 2022
- [j12]Miguel Arjona Ramírez
Differentiable Measures for Speech Spectral Modeling. IEEE Access 10: 17609-17618 (2022) - [j11]Álvaro Teixeira Escottá
Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition. Sensors 22(11): 4226 (2022) - 2021
- [j10]Davi Militani
Enhanced Routing Algorithm Based on Reinforcement Machine Learning - A Case of VoIP Service. Sensors 21(2): 504 (2021) - [j9]Samuel Terra Vieira
Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep Learning. Sensors 21(5): 1880 (2021) - [j8]Demóstenes Z. Rodríguez
Incorporating Wireless Communication Parameters Into the E-Model Algorithm. IEEE ACM Trans. Audio Speech Lang. Process. 29: 956-968 (2021) - [c11]Heitor R. Guimarães
Optimizing Time Domain Fully Convolutional Networks for 3D Speech Enhancement in a Reverberant Environment Using Perceptual Losses. MLSP 2021: 1-6 - [i2]Demóstenes Z. Rodríguez, Dick Carrillo Melgarejo, Miguel Arjona Ramírez
Incorporating Wireless Communication Parameters into the E-Model Algorithm. CoRR abs/2103.03970 (2021) - 2020
- [j7]Noushin Hajarolasvadi
Generative Adversarial Networks in Human Emotion Synthesis: A Review. IEEE Access 8: 218499-218529 (2020) - [i1]Noushin Hajarolasvadi, Miguel Arjona Ramírez
Generative Adversarial Networks in Human Emotion Synthesis: A Review. CoRR abs/2010.15075 (2020)
2010 – 2019
- 2019
- [c10]Demóstenes Zegarra Rodríguez
Impact of FEC codes on speech communication quality using WB E-model algorithm. Wireless Days 2019: 1-4 - 2018
- [j6]Miguel Arjona Ramírez
Hybrid Autoregressive Resonance Estimation and Density Mixture Formant Tracking Model. IEEE Access 6: 30217-30224 (2018) - 2016
- [j5]Miguel Arjona Ramírez
Non-Negative Temporal Decomposition Regularization With an Augmented Lagrangian. IEEE Signal Process. Lett. 23(5): 663-667 (2016) - 2014
- [c9]Rafael Iriya, Miguel Arjona Ramírez
Gaussian mixture models with class-dependent features for speech emotion recognition. SSP 2014: 480-483 - 2013
- [j4]Miguel Arjona Ramírez
Intra-Predictive Switched Split Vector Quantization of Speech Spectra. IEEE Signal Process. Lett. 20(8): 791-794 (2013) - [c8]Miguel Arjona Ramírez
Decorrelating transforms for spectral vector quantization. DSP 2013: 1-6 - 2011
- [c7]Rodolfo Vertamatti, Miguel Arjona Ramírez
Human asymmetry in multibiometric recognition. CIBIM 2011: 70-77 - [c6]Miguel Arjona Ramírez
Vector quantizationwith renormalized splits for wideband speech. DSP 2011: 1-4
2000 – 2009
- 2009
- [c5]Miguel Arjona Ramírez
Modeling the unvoiced component in the canonical representation of speech. DPS 2009: 1-5 - 2008
- [j3]Miguel Arjona Ramírez
A Levinson Algorithm Based on an Isometric Transformation of Durbin's. IEEE Signal Process. Lett. 15: 99-102 (2008) - 2006
- [j2]Miguel Arjona Ramírez
Split-order linear prediction for segmentation and harmonic spectral modeling. IEEE Signal Process. Lett. 13(4): 244-247 (2006) - 2003
- [c4]Miguel Arjona Ramírez
A waveform extractor for scalable speech coding. ICASSP (2) 2003: 169-172 - [c3]Miguel Arjona Ramírez:
Cycle extraction for perfect reconstruction and rate scalability. INTERSPEECH 2003: 2945-2948 - 2001
- [c2]Miguel Arjona Ramírez
Sparsity compensation for speech coders. GLOBECOM 2001: 2475-2478 - 2000
- [j1]Miguel Arjona Ramírez
Joint position and amplitude search of algebraic multipulses. IEEE Trans. Speech Audio Process. 8(5): 633-637 (2000)
1990 – 1999
- 1999
- [c1]Miguel Arjona Ramírez
A multistage search of algebraic CELP codebooks. ICASSP 1999: 17-20
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