# Speech Technology Services for Oral History Research

arXiv: https://arxiv.org/abs/2405.02333 · HTML: https://mlsanity.com/paper/2405.02333/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 33 references that are in the map.
- First posted on arXiv 26 Apr 2024.

## Builds on (most cited first, 9 of 9)

- [wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://mlsanity.com/paper/2006.11477/) (2020)
- [WhisperX: Time-Accurate Speech Transcription of Long-Form Audio](https://mlsanity.com/paper/2303.00747/) (2023)
- [A Review of Speaker Diarization: Recent Advances with Deep Learning](https://mlsanity.com/paper/2101.09624/) (2021)
- [FlowQA: Grasping Flow in History for Conversational Machine Comprehension](https://mlsanity.com/paper/1810.06683/) (2018)
- [Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs](https://mlsanity.com/paper/2106.15684/) (2021)
- [End-to-End Speech Recognition and Disfluency Removal](https://mlsanity.com/paper/2009.10298/) (2020)
- [Analysis and Tuning of a Voice Assistant System for Dysfluent Speech](https://mlsanity.com/paper/2106.11759/) (2021)
- [Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak](https://mlsanity.com/paper/2306.04399/) (2023)
- [Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews](https://mlsanity.com/paper/2310.11967/) (2023)

## Built on by (most cited first, 2 of 2)

- [IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences](https://mlsanity.com/paper/2605.06142/) (2026)
- [Automatic Speech Recognition for Multilingual Oral History Research](https://mlsanity.com/paper/2609.04232/) (2026)

## Abstract (arXiv)

Oral history is about oral sources of witnesses and commentors on historical events. Speech technology is an important instrument to process such recordings in order to obtain transcription and further enhancements to structure the oral account In this contribution we address the transcription portal and the webservices associated with speech processing at BAS, speech solutions developed at LINDAT, how to do it yourself with Whisper, remaining challenges, and future developments.