Automatic speech recognition (ASR) of historical Southern American English and African-American English
Research transcription pipelines
Large-scale batch transcription
WhisperX alignment / diarization workflows

Out-of-Scope Use

This model is not suitable for:

Real-time low-latency streaming without additional engineering
Use via Hugging Face Transformers API
Applications requiring multilingual robustness (trained primarily on English speech)

How to Use

from huggingface_hub import snapshot_download
from faster_whisper import WhisperModel

model_dir = snapshot_download("stcoats/whisper-large-v3-DASS2019-ct2")
model = WhisperModel(model_dir, device="cuda", compute_type="float16")

segments, info = model.transcribe("audio.wav", language="en", beam_size=5)

for s in segments:
    print(f"[{s.start:.2f}-{s.end:.2f}] {s.text}")

from huggingface_hub import snapshot_download
import whisperx

model_dir = snapshot_download("stcoats/whisper-large-v3-DASS2019-ct2")
model = whisperx.load_model(model_dir, device="cuda", compute_type="float16")

audio = whisperx.load_audio("audio.wav")
result = model.transcribe(audio, language="en", vad_filter=False)

for s in result["segments"]:
    print(f"[{s['start']:.2f}-{s['end']:.2f}] {s['text']}")

Details

Training Data

DASS2019_NLP

For details, please see Coats, Steven. (2026). A Fine-tuned ASR Model for Historical American Dialect Recordings. Proceedings of LREC 2026.

Citation

BibTeX:

@inproceedings{coats-2026-fine,
  title = {A Fine-tuned ASR Model for Historical American Dialect Recordings},
  author = {Coats, Steven},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {1372--1381},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/5bjeqct6ozd3},
}

APA:

Coats, S. (2026). A Fine-tuned ASR Model for Historical American Dialect Recordings. In In S. Piperidis, N. Bel, H. van den Heuvel, N. Ide, S. Krek and A. Toral (eds.) Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) (pp. 1372–1381). European Language Resources Association (ELRA). https://doi.org/10.63317/5bjeqct6ozd3.