facebook/wav2vec2-xls-r-300m fine-tuned on google/fleurs and mozilla-foundation/common_voice_13_0 for Igbo language.

WER: 0.51


Code for running:
```
from huggingsound import SpeechRecognitionModel

model = SpeechRecognitionModel("AstralZander/igbo_ASR")
audio_paths = [audio_path] # List with paths to audio
transcriptions = model.transcribe(audio_paths)

transcriptions # List of transcriptions, timestamps and probabilities
transcriptions[ind_audio]['transcription'] # Transcription of audio with the ind_audio index from the audio_paths list
```
{"language": ["ig"], "license": "apache-2.0", "datasets": ["mozilla-foundation/common_voice_13_0", "google/fleurs"]}
transformers pytorch wav2vec2 automatic-speech-recognition ig dataset:mozilla-foundation/common_voice_13_0 dataset:google/fleurs license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #ig #dataset-mozilla-foundation/common_voice_13_0 #dataset-google/fleurs #license-apache-2.0 #endpoints_compatible #region-us 

facebook/wav2vec2-xls-r-300m fine-tuned on google/fleurs and mozilla-foundation/common_voice_13_0 for Igbo language.

WER: 0.51


Code for running:

TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #ig #dataset-mozilla-foundation/common_voice_13_0 #dataset-google/fleurs #license-apache-2.0 #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #ig #dataset-mozilla-foundation/common_voice_13_0 #dataset-google/fleurs #license-apache-2.0 #endpoints_compatible #region-us 
