Update README.md
Browse files
README.md
CHANGED
@@ -10,7 +10,7 @@ pipeline_tag: automatic-speech-recognition
|
|
10 |
# Model Card for chall_wav2vec2_xlsr_300m
|
11 |
|
12 |
This model, named `ChaLL-300M`, is an Automatic Speech Recognition (ASR) system specifically designed and fine-tuned to transcribe spontaneous
|
13 |
-
speech of young English learners while preserving their errors.
|
14 |
It was developed as part of a project to improve the speaking practice and provide corrective feedback in language learning environments.
|
15 |
|
16 |
## Model Details
|
@@ -18,6 +18,7 @@ It was developed as part of a project to improve the speaking practice and provi
|
|
18 |
### Model Description
|
19 |
|
20 |
`ChaLL-300M` is a fine-tuned ASR model from the Wav2Vec-XLSR-300M base model.
|
|
|
21 |
It addresses the unique challenges of transcribing the spontaneous speech of young English learners by preserving their grammatical, lexical, and pronunciation errors.
|
22 |
|
23 |
|
|
|
10 |
# Model Card for chall_wav2vec2_xlsr_300m
|
11 |
|
12 |
This model, named `ChaLL-300M`, is an Automatic Speech Recognition (ASR) system specifically designed and fine-tuned to transcribe spontaneous
|
13 |
+
speech of young English learners while preserving their errors.
|
14 |
It was developed as part of a project to improve the speaking practice and provide corrective feedback in language learning environments.
|
15 |
|
16 |
## Model Details
|
|
|
18 |
### Model Description
|
19 |
|
20 |
`ChaLL-300M` is a fine-tuned ASR model from the Wav2Vec-XLSR-300M base model.
|
21 |
+
This model represents the best performing fold from a k-fold cross-validation training process as described in the [paper](#).
|
22 |
It addresses the unique challenges of transcribing the spontaneous speech of young English learners by preserving their grammatical, lexical, and pronunciation errors.
|
23 |
|
24 |
|