Datasets:

Rosie-Lab
/

BERSt

Tasks:

Automatic Speech Recognition

Audio Classification

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

emotional_speech

distance_speech

smartphone_recordings

nonsense_phrases

non-native_accents

Libraries:

License:

Dataset card Data Studio Files Files and versions

chocobearz commited on May 2, 2025

Commit

0f1ede2

·

verified ·

1 Parent(s): 464169f

Update README.md

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -69,9 +69,9 @@ Automatic speech recognition: word error rate, character error rate, phone error
 | NeMo Fastconformer Transducer   | 24.96%  | 10.72%  | 10.13%  |
 | Wav2Vec2-Base-960h               | 49.65%  | 18.94%  | 19.90%  |
-![emotion_wer_plot](./png2pdf-1-1-1.png)
-![distance_wer_plot](./png2pdf-3-1-1.png)
-![shout_wer_plot](./png2pdf-4-1-1.png)
 Speech emotion recognition: Weighted and Unweighted Accuracy

 | NeMo Fastconformer Transducer   | 24.96%  | 10.72%  | 10.13%  |
 | Wav2Vec2-Base-960h               | 49.65%  | 18.94%  | 19.90%  |
+![emotion_wer_plot](./figures/png2pdf-1-1-1.png)
+![distance_wer_plot](./figures/png2pdf-3-1-1.png)
+![shout_wer_plot](./figures/png2pdf-4-1-1.png)
 Speech emotion recognition: Weighted and Unweighted Accuracy