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eess.AS2022★ 75 cited
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Sehoon Kim, Amir Gholami, Albert Shaw +5
The recently proposed Conformer model has become the de facto backbone model for various downstream speech tasks based on its hybrid attention-convolution architecture that capture…
eess.AS2017
Learning Spontaneity to Improve Emotion Recognition In Speech
Karttikeya Mangalam, Tanaya Guha
We investigate the effect and usefulness of spontaneity (i.e. whether a given speech is spontaneous or not) in speech in the context of emotion recognition. We hypothesize that emo…