Researchers have found a way to improve the performance of Wav2Vec2, a popular speech recognition model. They achieved this by incorporating n-grams into the model's architecture. N-grams are sequences of words or sounds that occur together in language. This modification allows the model to better capture phonetic and acoustic patterns in speech. --- Why it matters: This matters because improved speech recognition models can have significant impacts on applications such as voice assistants, transcription services, and accessibility technologies for people with disabilities. Source: https://huggingface.co/blog/wav2vec2-with-ngram