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 …

Self-attention (SA) is a critical component of Transformer neural networks that have
succeeded in automatic speech recognition (ASR). In this paper, we analyze the role of SA …

The study of the attention mechanism has sparked interest in many fields, such as language
modeling and machine translation. Although its patterns have been exploited to perform …

Automatic subtitling is the task of automatically translating the speech of audiovisual content
into short pieces of timed text, ie, subtitles and their corresponding timestamps. The …

Streaming speech recognition architectures are employed for low-latency, real-time
applications. Such architectures are often characterized by their causality. Causal …

Conformer has achieved impressive results in Automatic Speech Recognition (ASR) by
leveraging transformer's capturing of content-based global interactions and convolutional …

Citrinet is an end-to-end convolutional Connectionist Temporal Classification (CTC) based
automatic speech recognition (ASR) model. To capture local and global contextual …

During conversations, humans are capable of inferring the intention of the speaker at any
point of the speech to prepare the following action promptly. Such ability is also the key for …

In the present paper, an attempt is made to combine Mask-CTC and the triggered attention
mechanism to construct a streaming end-to-end automatic speech recognition (ASR) system …

Speech technology is a field that encompasses various techniques and tools used to enable
machines to interact with speech, such as automatic speech recognition (ASR), spoken …