Papers with speech community
Agent-based Modeling of Language Change in a Small-world Network (2024.lrec-main)
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| Challenge: | linguists have been studying how external aspects of the linguistic system impact the grammatical system of a language. |
| Approach: | They propose to use agent-based modeling and simulation to study language change in a speech community using Zachary’s karate club network. |
| Outcome: | The proposed model shows that the centrality of each agent in the network, interpreted as social prestige, appears to be a factor influencing change. |
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Under-Documented Languages (2022.findings-acl)
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Clarissa Forbes, Farhan Samir, Bruce Oliver, Changbing Yang, Edith Coates, Garrett Nicolai, Miikka Silfverberg
| Challenge: | Recent progress in NLP is driven by pretrained models leveraging massive datasets. |
| Approach: | They argue that IGT data can be leveraged provided target language expertise is available and that it can be used to create effective models. |
| Outcome: | The proposed model can be leveraged provided that target language expertise is available. |
Generative Spoken Language Model based on continuous word-sized audio tokens (2023.emnlp-main)
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| Challenge: | Text-based language models outperform character-based models, but speech inputs are 20ms or 40ms-long discrete units. |
| Approach: | They propose a generative language model based on word-size continuous audio tokens . they replace lookup table for lexical types with a Lexical Embedding function . |
| Outcome: | The proposed model is five times more memory efficient than discrete unit GSLMs and is phonetically and semantically interpretable. |
Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus (2022.lrec-1)
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| Challenge: | Using a publicly-available corpus, we propose a far-field speaker verification benchmark. |
| Approach: | They propose a far-field speaker verification benchmark derived from the publicly available DiPCo corpus. |
| Outcome: | The proposed tasks are very challenging and hope to inspire the speech community to develop new methods and systems for this challenging domain. |
Speech Resources in the Tamasheq Language (2022.lrec-1)
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Marcely Zanon Boito, Fethi Bougares, Florentin Barbier, Souhir Gahbiche, Loïc Barrault, Mickael Rouvier, Yannick Estève
| Challenge: | In this paper, we present two datasets for Tamasheq, a developing language mainly spoken in Mali and Niger . we share unlabeled audio data in five languages: french, Fulfulde, Hausa, Tamaheq and Zarma . |
| Approach: | They present two datasets for Tamasheq, a developing language mainly spoken in Mali and Niger. |
| Outcome: | The proposed datasets are used in the IWSLT 2022 low-resource speech translation track . they consist of radio recordings from daily broadcast news in Niger and Mali . |
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech (L18-1)
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Jaka Aris Eko Wibawa, Supheakmungkol Sarin, Chenfang Li, Knot Pipatsrisawat, Keshan Sodimana, Oddur Kjartansson, Alexander Gutkin, Martin Jansche, Linne Ha
| Challenge: | Using multi-speaker text-to-speech systems, we build systems for Javanese and Sundanese . progress in this direction is difficult because languages in the long tail of the distribution of the majority of the world's languages lack adequate linguistic resources . |
| Approach: | They present multi-speaker text-to-speech corpora for Javanese and Sundanese . they use mixed-gender recordings to build multi-language text-based systems . |
| Outcome: | The proposed multi-speaker text-to-speech systems outperform the systems constructed from a single language. |
Making “fetch” happen: The influence of social and linguistic context on nonstandard word growth and decline (D18-1)
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| Challenge: | In an online community, new words come and go, but language change is shaped and constrained by the grammatical system in which it takes part. |
| Approach: | They analysed the frequency of non-standard words in reddit to determine their impact on language change. |
| Outcome: | The results show that language change is shaped and constrained by the grammatical system in which it takes place. |