conformer and nextformer
The Nextformer implementation builds upon and extends the Conformer architecture by augmenting it with ConvNeXt components, making it a direct successor rather than a competitor or complement to the base Conformer implementation.
About conformer
sooftware/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
This project offers a foundational component for developing highly accurate speech recognition systems. It takes raw audio sequences and processes them to generate predictions for spoken words or phonemes. If you're an AI researcher, a speech scientist, or a machine learning engineer working on advanced speech-to-text applications, this tool provides a state-of-the-art model for improved transcription.
About nextformer
tuanio/nextformer
PyTorch implementation of "Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition"
This project offers a specialized speech recognition model for researchers and engineers developing advanced voice AI systems. It takes raw audio data, often represented as speech features, and processes it to produce highly accurate text transcripts. It's designed for those working on the core technology of automatic speech recognition (ASR).
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