GigaChat Audio: Time-aware Large Audio Language Model

Aleksandr Kutsakov; Mariia Sadovina; Georgii Gospodinov; Alexandr Maximenko; Oleg Kutuzov; Pavel Bogomolov; Fyodor Minkin

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arXiv · 2607.10387

GigaChat Audio: Time-aware Large Audio Language Model

Aleksandr Kutsakov·Mariia Sadovina·Georgii Gospodinov·Alexandr Maximenko·Oleg Kutuzov·Pavel Bogomolov·Fyodor Minkin

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Abstract

Temporal grounding in long recordings remains challenging for audio-conditioned LLMs. We present a time-aware audio LLM that answers questions with explicit timestamps over up to 120 minutes of input. Our approach interleaves periodic time markers with continuous audio tokens using large-scale synthetic supervision from a cascaded pipeline. Our model achieves strong temporal-grounding accuracy on short and long benchmarks and supports time-anchored fragment descriptions and summaries. Extensive ablations examine how time representation, marker frequency, tokenization, and duration-mixture design affect accuracy and computational cost. We release model weights and datasets to support further research on time-aware audio understanding, available at https://huggingface.co/ai-sage/GigaChat3.1-Audio-10B-A1.8B.

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Aleksandr Kutsakov, Mariia Sadovina, Georgii Gospodinov, Alexandr Maximenko, Oleg Kutuzov, Pavel Bogomolov, Fyodor Minkin. 2026-07-11. GigaChat Audio: Time-aware Large Audio Language Model. https://arxiv.org/abs/2607.10387

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