4 papers
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
Iwona Christop, Mateusz Czyżnikiewicz, PaweŠSkórzewski +4
The present benchmarks for testing the audio modality of multimodal large language models concentrate on testing various audio tasks such as speaker diarization or gender identific…
Preservation of Language Understanding Capabilities in Speech-aware Large Language Models
Marek Kubis, PaweŠSkórzewski, Iwona Christop +4
The paper presents C3T (Cross-modal Capabilities Conservation Test), a new benchmark for assessing the performance of speech-aware large language models. The benchmark utilizes tex…
LoRP-TTS: Low-Rank Personalized Text-To-Speech
Åukasz Bondaruk, Jakub Kubiak
Speech synthesis models convert written text into natural-sounding audio. While earlier models were limited to a single speaker, recent advancements have led to the development of…
Augmenting Polish Automatic Speech Recognition System With Synthetic Data
Åukasz Bondaruk, Jakub Kubiak, Mateusz Czyżnikiewicz
This paper presents a system developed for submission to Poleval 2024, Task 3: Polish Automatic Speech Recognition Challenge. We describe Voicebox-based speech synthesis pipeline a…