Automatic speech recognition systems generally produce unpunctuated text which is difficult
to read for humans and degrades the performance of many downstream machine …

Bangla--ranked as the 6th most widely spoken language across the world (https://www.
ethnologue. com/guides/ethnologue200), with 230 million native speakers--is still …

Punctuation restoration is a common post-processing problem for Automatic Speech
Recognition (ASR) systems. It is important to improve the readability of the transcribed text …

The output of automatic speech recognition systems is generally an unpunctuated stream of
words which is hard to process for both humans and machines. We present a two-stage …

Modern Automatic Speech Recognition (ASR) systems can achieve high performance in
terms of recognition accuracy. However, a perfectly accurate transcript still can be …

In this paper we propose an approach to predict punctuation marks for unsegmented speech
transcript. The approach is purely lexical, with pre-trained Word Vectors as the only input. A …

This paper focuses on the task of inserting punctuation symbols into transcribed
conversational speech texts, without relying on prosodic cues. We investigate limitations …

Longform spoken dialog delivers rich streams of informative content through podcasts,
interviews, debates, and meetings. While production of this medium has grown …

This paper proposes to use self-attention based model to predict punctuation marks for word
sequences. The model is trained using word and speech embedding features which are …

Ensuring proper punctuation and letter casing is a key pre-processing step towards applying
complex natural language processing algorithms. This is especially significant for textual …