LoRP-TTS shows that per-prompt LoRA fine-tuning with one short recording improves speaker similarity in Voicebox-based zero-shot TTS, at some cost in inference time.
Polish Read Speech Corpus for Speech Tools and Services
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
This paper describes the speech processing activities conducted at the Polish consortium of the CLARIN project. The purpose of this segment of the project was to develop specific tools that would allow for automatic and semi-automatic processing of large quantities of acoustic speech data. The tools include the following: grapheme-to-phoneme conversion, speech-to-text alignment, voice activity detection, speaker diarization, keyword spotting and automatic speech transcription. Furthermore, in order to develop these tools, a large high-quality studio speech corpus was recorded and released under an open license, to encourage development in the area of Polish speech research. Another purpose of the corpus was to serve as a reference for studies in phonetics and pronunciation. All the tools and resources were released on the the Polish CLARIN website. This paper discusses the current status and future plans for the project.
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LoRP-TTS: Low-Rank Personalized Text-To-Speech
LoRP-TTS shows that per-prompt LoRA fine-tuning with one short recording improves speaker similarity in Voicebox-based zero-shot TTS, at some cost in inference time.