On the Use/Misuse of the Term 'Phoneme'
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Abstract (arXiv)
The term 'phoneme' lies at the heart of speech science and technology, and yet it is not clear that the research community fully appreciates its meaning and implications. In particular, it is suspected that many researchers use the term in a casual sense to refer to the sounds of speech, rather than as a well defined abstract concept. If true, this means that some sections of the community may be missing an opportunity to understand and exploit the implications of this important psychological phenomenon. Here we review the correct meaning of the term 'phoneme' and report the results of an investigation into its use/misuse in the accepted papers at INTERSPEECH-2018. It is confirmed that a significant proportion of the community (i) may not be aware of the critical difference between `phonetic' and 'phonemic' levels of description, (ii) may not fully understand the significance of 'phonemic contrast', and as a consequence, (iii) consistently misuse the term 'phoneme'. These findings are discussed, and recommendations are made as to how this situation might be mitigated.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Jul 2019.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 2; 2025: 0; 2026: 2.
9 papers.
- 2021Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discoverycited by 7
- 2022Common Phone: A Multilingual Dataset for Robust Acoustic Modellingcited by 7
- 2021Unsupervised Automatic Speech Recognition: A Reviewcited by 5
- 2024Beyond the binary: Limitations and possibilities of gender-related speech technology researchcited by 5
- 2024Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamascited by 5
- 2021The Phonetic Footprint of Parkinson's Diseasecited by 1
- 2023Differentially Private Adapters for Parameter Efficient Acoustic Modelingcited by 1
- 2026MUSCAT: MUltilingual, SCientific ConversATion Benchmarkcited by 0
- 2026Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrappingcited by 0
- 2026Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrapping29 Apr 2026
- 2026MUSCAT: MUltilingual, SCientific ConversATion Benchmark17 Apr 2026
- 2024Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas2 Oct 2024
- 2024Beyond the binary: Limitations and possibilities of gender-related speech technology research20 Sep 2024
- 2023Differentially Private Adapters for Parameter Efficient Acoustic Modeling19 May 2023
- 2022Common Phone: A Multilingual Dataset for Robust Acoustic Modelling15 Jan 2022
- 2021The Phonetic Footprint of Parkinson's Disease21 Dec 2021
- 2021Unsupervised Automatic Speech Recognition: A Review9 Jun 2021
- 2021Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery15 Mar 2021