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SPGISpeech 2.0: Transcribed multi-speaker financial audio for speaker-tagged transcription

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arxiv 2508.05554 v1 pith:HBBWSCVF submitted 2025-08-07 cs.SD cs.CLeess.AS

SPGISpeech 2.0: Transcribed multi-speaker financial audio for speaker-tagged transcription

Raymond Grossman , Taejin Park , Kunal Dhawan , Andrew Titus , Sophia Zhi , Yulia Shchadilova , Weiqing Wang , Jagadeesh Balam
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Boris Ginsburg
This is my paper
classification cs.SD cs.CLeess.AS
keywords spgispeechaudiodatasetrecognitionspeaker-taggedspeechfinancialtranscribed
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce SPGISpeech 2.0, a dataset suitable for speaker-tagged transcription in the financial domain. SPGISpeech 2.0 improves the diversity of applicable modeling tasks while maintaining the core characteristic of the original SPGISpeech dataset: audio snippets and their corresponding fully formatted text transcriptions, usable for end-to-end automatic speech recognition (ASR). SPGISpeech 2.0 consists of 3,780 additional hours of professionally transcribed earnings calls. Furthermore, the dataset contains call and speaker information for each audio snippet facilitating multi-talker ASR. We validate the utility of SPGISpeech 2.0 through improvements in speaker-tagged ASR performance of popular speech recognition models after fine-tuning on SPGISpeech 2.0. Released free for non-commercial use, we expect SPGISpeech 2.0 to foster advancements in speech recognition technologies and inspire a wide range of research applications.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use

    cs.SD 2026-04 unverdicted novelty 6.0

    Audio2Tool is a new benchmark dataset that shows speech models perform well on simple commands but degrade sharply on compositional tasks and realistic acoustic noise.

  2. Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech

    eess.AS 2026-05 unverdicted novelty 5.0

    Raon-OpenTTS provides an open 510K-hour curated speech dataset and DiT-based TTS models up to 1B parameters that achieve competitive WER and speaker similarity on benchmarks versus closed models trained on millions of hours.