# Sustainable Speech Recognition: Energy, Carbon, and Performance Comparison of Whisper (Base and Large) and Google Speech-to-Text V2 (Chirp/USM)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sustainable-speech-recognition-energy-carbon-and-performance-comparison-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jalal El Bahri,Mohamed Kouissi,Mohammed Achkari Begdouri |
| Citations | 0 |
| DOI | 10.1007/978-3-032-04114-2_14 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4415557063 |
| Type | book-chapter |
| Year | 2025 |

## Paper authors

- [Mohammed Achkari Begdouri](https://scholariq.org/researchers/mohammed-achkari-begdouri/)

## Paper primary topic

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

## Paper topics

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

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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.