Computer Science > Computation and Language
arXiv:2502.18215 (cs)
This paper has been withdrawn by Samy Ouzerrout
[Submitted on 25 Feb 2025 (v1), last revised 10 Mar 2026 (this version, v2)]
Title:Connecting Voices: LoReSpeech as a Low-Resource Speech Parallel Corpus
Authors:Samy Ouzerrout
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Abstract:Aligned audio corpora are fundamental to NLP technologies such as ASR and speech translation, yet they remain scarce for underrepresented languages, hindering their technological integration. This paper introduces a methodology for constructing LoReSpeech, a low-resource speech-to-speech translation corpus. Our approach begins with LoReASR, a sub-corpus of short audios aligned with their transcriptions, created through a collaborative platform. Building on LoReASR, long-form audio recordings, such as biblical texts, are aligned using tools like the MFA. LoReSpeech delivers both intra- and inter-language alignments, enabling advancements in multilingual ASR systems, direct speech-to-speech translation models, and linguistic preservation efforts, while fostering digital inclusivity. This work is conducted within Tutlayt AI project (this https URL).
| Comments: | |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2502.18215 [cs.CL] |
| (or arXiv:2502.18215v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2502.18215
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Submission history
From: Samy Ouzerrout [view email][v1] Tue, 25 Feb 2025 14:00:15 UTC (92 KB)
[v2] Tue, 10 Mar 2026 16:27:01 UTC (1 KB) (withdrawn)
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