long-form-speech

Earnings25 is a 500-hour benchmark for evaluating automatic speech recognition on financial earnings calls, providing aligned transcripts and structured metadata for speaker- and industry-aware evaluation.

This paper describes FBK's submission to the IWSLT 2026 Instruction Following shared task, developing SpeechLLMs for short-form and long-form speech instruction following, exploring segmentation methods and achieving robust long-form performance with fixed 30-second segmentation.

This paper proposes a practical evaluation method for long-form simultaneous speech-to-speech translation that uses ASR, forced alignment, and sentence embedding alignment to compute latency and quality metrics on continuous speech, overcoming limitations of prior approaches.