In recent years, so-called,“end-to-end” speech recognition systems have emerged as viable
alternatives to traditional ASR frameworks. Keyword search, localizing an orthographic …

The IARPA BABEL program has stimulated worldwide research in keyword search
technology for low resource languages, and the NIST OpenKWS evaluations are the de …

Out-of-vocabulary (OOV) keywords present a challenge for keyword search (KWS) systems
especially in the low-resource setting. Previous research has centered around approaches …

Within search-on-speech, Spoken Term Detection (STD) aims to retrieve data from a speech
repository given a textual representation of a search term. This paper presents an …

This paper investigates a weighted finite state transducer (WFST) based syllable decoding
and transduction method for keyword search (KWS), and compares it with sub-word search …

One way to interact, humans use speech. Text-to-speech system (TTS) is the process of
converting text into speech. Some TTS applications in the community are visual chatbot …

Developing automatic speech recognition (ASR) technologies is of significant importance to
facilitate human-machine interactions. The main challenges for ASR development have …

Low-resource speech recognition and keyword search (KWS) are important topics for
speech technologies. However, their performance often suffers from out-ofvocabulary (OOV) …