# The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-emotion-probe-on-the-universality-of-cross-linguistic-and-cross-gender/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Giovanni Costantini,Emilia Parada‐Cabaleiro,Daniele Casali,Valerio Cesarini |
| Citations | 34 |
| DOI | 10.3390/s22072461 |
| Fields | Computer Science,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/22/7/2461/pdf?version=1648025329 |
| OpenAlex ID | https://openalex.org/W4221122497 |
| PMID | 35408076 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Daniele Casali](https://scholariq.org/researchers/daniele-casali/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

## Paper topics

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

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