The study presents the ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) Challenge. This competition, which follows the success of the Intelligent Cockpit Speech Recognition Challenge, collects over 100 hours…
Continue readingThe paper discusses a new approach towards audio-visual target speaker extraction (AVTSE) task in the Multi-modal Information based Speech Processing (MISP) 2023 Challenge. The approach uses different extraction strategies based…
Continue readingThe paper introduces a Cross-Speaker Encoding (CSE) network to improve multi-talker speech recognition. Current methods, single-input multiple-output (SIMO) and single-input single-output (SISO) models, have limitations. The CSE network addresses these…
Continue readingThe article presents a new method, CLC: Contrastive Learning for Conversations, to improve the performance of Automatic Speech Recognition (ASR) models. The method leverages artifacts in unsuccessful conversations with assistant…
Continue readingThe article introduces two intelligibility prediction systems derived from a noise-robust automatic speech recognition model. These systems are designed to predict speech intelligibility in noisy environments, which is crucial for…
Continue readingThe article introduces DISCO, a large-scale human annotated corpus for disfluency correction in four Indo-European languages: English, Hindi, German, and French. Disfluency correction is the process of removing disfluent elements…
Continue readingThe paper discusses a new approach to Disfluency Correction (DC) for four major Indo-European languages – English, Hindi, German, and French. DC is a process of removing disfluent elements such…
Continue readingThe article presents a novel method for efficient Conformer-based end-to-end automatic speech recognition. The Conformer block uses a self-attention mechanism to capture global information and a convolutional neural network to…
Continue readingThis study presents the Mason-Alberta Phonetic Segmenter (MAPS), a new system for forced alignment, a process used in phonetics to automatically determine boundaries between speech segments. The system uses deep…
Continue readingThe authors introduce a multitask, multilingual, dual-modal Speech and Language Model (SLM). The SLM uses pretrained foundational speech and language models, preserving their capabilities while training a simple adapter with…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
