# Giovanni Costantini

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/giovanni-costantini/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,753 |
| Field | Music and Audio Processing |
| h-index | 24 |
| i10-index | 35 |
| Last Known Institution | University of Rome Tor Vergata |
| OpenAlex ID | https://openalex.org/A5056031186 |
| ORCID iD | 0000-0001-8675-5532 |
| Works | 225 |

## Researcher papers

- [EMOVO Corpus: an Italian Emotional Speech Database](https://scholariq.org/papers/emovo-corpus-an-italian-emotional-speech-database/)
- [Voice in Parkinson's Disease: A Machine Learning Study](https://scholariq.org/papers/voice-in-parkinson-s-disease-a-machine-learning-study/)
- [Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison](https://scholariq.org/papers/artificial-intelligence-based-voice-assessment-of-patients-with-parkinson-s/)
- [Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure](https://scholariq.org/papers/speech-emotion-recognition-using-amplitude-modulation-parameters-and-a-combined/)
- [Cellular Neural Networks With Virtual Template Expansion for Retinal Vessel Segmentation](https://scholariq.org/papers/cellular-neural-networks-with-virtual-template-expansion-for-retinal-vessel/)
- [DEMoS: an Italian emotional speech corpus](https://scholariq.org/papers/demos-an-italian-emotional-speech-corpus/)
- [Worldwide Healthy Adult Voice Baseline Parameters: A Comprehensive Review](https://scholariq.org/papers/worldwide-healthy-adult-voice-baseline-parameters-a-comprehensive-review/)
- [Voice Analysis with Machine Learning: One Step Closer to an Objective Diagnosis of Essential Tremor](https://scholariq.org/papers/voice-analysis-with-machine-learning-one-step-closer-to-an-objective-diagnosis/)
- [Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender](https://scholariq.org/papers/machine-learning-analysis-of-voice-samples-recorded-through-smartphones-the/)
- [Voice analysis in adductor spasmodic dysphonia: Objective diagnosis and response to botulinum toxin](https://scholariq.org/papers/voice-analysis-in-adductor-spasmodic-dysphonia-objective-diagnosis-and-response/)
- [Surgical Skill Evaluation by Means of a Sensory Glove and a Neural Network](https://scholariq.org/papers/surgical-skill-evaluation-by-means-of-a-sensory-glove-and-a-neural-network/)
- [Towards an Objective Tool for Evaluating the Surgical Skill](https://scholariq.org/papers/towards-an-objective-tool-for-evaluating-the-surgical-skill/)

## Researcher topics

- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Music Technology and Sound Studies](https://scholariq.org/topics/music-technology-and-sound-studies/)
- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)

## Researcher university

- [University of Rome Tor Vergata](https://scholariq.org/institutions/university-of-rome-tor-vergata/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.