SPGISpeech 2.0: Transcribed multi-speaker financial audio for speaker-tagged transcription
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 14 of its 27 references that are in the map. First posted on arXiv 7 Aug 2025.
Builds on
14 of 27 references.
References · 14
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2020Conformer: Convolution-augmented Transformer for Speech Recognitioncited by 1,838
- 2018VoxCeleb2: Deep Speaker Recognitioncited by 862
- 2017VoxCeleb: a large-scale speaker identification datasetcited by 714
- 2022Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Modelcited by 557
- 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 391
- 2020CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordingscited by 129
- 2021A Review of Speaker Diarization: Recent Advances with Deep Learningcited by 122
- 2023Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognitioncited by 120
- 2021SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognitioncited by 77
- 2020Speaker Recognition Based on Deep Learning: An Overviewcited by 59
- 2019Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Modelcited by 52
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Citing papers per year: 2026: 5.
5 papers.
- 2026Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Usecited by 7
- 2026Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialoguecited by 4
- 2026When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platformscited by 1
- 2026Proactive for Uncertainty: Cause-Aware Error Diagnosis and Interactive Clarification for Spoken Dialogue Systemscited by 0
- 2026Earnings25: A Comprehensive 500-Hour Speech Benchmark for Financecited by 0
- 2026Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance26 Jul 2026
- 2026Proactive for Uncertainty: Cause-Aware Error Diagnosis and Interactive Clarification for Spoken Dialogue Systems25 May 2026
- 2026When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms18 Apr 2026
- 2026Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use17 Apr 2026
- 2026Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue12 Mar 2026