Speech is the most common form of human communication, and many conversations use
digital communication links. For efficient transmission, acoustic speech waveforms 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 …

As more users across the world are interacting with dialog agents in their daily life, there is a
need for better speech understanding that calls for renewed attention to the dynamics …

Insertion of proper segmentation and punctuation into an ASR transcript is crucial not only
for the performance of subsequent applications but also for the readability of the text. In a …

This paper focuses on the tasks of recovering capitalization and punctuation marks from
texts without that information, such as spoken transcripts, produced by automatic speech …

This paper presents a model for disfluency detection in spontaneous speech transcripts
called LSTM Noisy Channel Model. The model uses a Noisy Channel Model (NCM) to …

The paper introduces a corpus of simultaneous interpretation, SIREN. SIREN is a parallel
aligned bidirectional corpus of original and simultaneously interpreted speech in Russian …

This paper proposes a flexible approach for punctuation prediction that can be used to
produce state-of-the-art results in a multilingual scenario. We have performed experiments …

Automatic speech recognition (ASR) is a central and common component of voice-driven
information processing systems in human language technology, including spoken language …

We propose a novel technique for adapting text-based statistical machine translation to deal
with input from automatic speech recognition in spoken language translation tasks. We …