Multilingual Automatic Speech Recognition (ASR) models have extended the usability of
speech technologies to a wide variety of languages. With how many languages these …

Language identification is critical for many downstream tasks in automatic speech
recognition (ASR), and is beneficial to integrate into multilingual end-to-end ASR as an …

Dual-encoder structure successfully utilizes two language-specific encoders (LSEs) for code-
switching speech recognition. Because LSEs are initialized by two pre-trained language …

Despite the rapid progress in automatic speech recognition (ASR) research, recognizing
multilingual speech using a unified ASR system remains highly challenging. Previous works …

Multilingual speech recognition for both monolingual and code-switching speech is a
challenging task. Recently, based on the Mixture of Experts (MoE), many works have made …

Languages usually switch within a multilingual speech signal, especially in a bilingual
society. This phenomenon is referred to as code-switching (CS), making automatic speech …

In this work, we seek to build effective code-switched (CS) automatic speech recognition
systems (ASR) under the zero-shot set-ting where no transcribed CS speech data is …

This paper reports on SOTA results achieved using openAI's Whisper model with adaptation
on different adaptation corpus sizes for two established code-switch Mandarin/English …

Internal Language Model Estimation (ILME) based language model (LM) fusion has been
shown significantly improved recognition results over conventional shallow fusion in both …

Recently, end-to-end (E2E) automatic speech recognition (ASR) models have made great
strides and exhibit excellent performance in general speech recognition. However, there …