1 citations · 1 across the 7 of their papers we have counts for
8 papers
Alignment-Path Distillation from Non-streaming ASR-LLMs for Streaming Speech Recognition
Yan Jia, Kai Huang, Junjie Chen +3
In this paper, we propose an alignment-path distillation framework for streaming automatic speech recognition (ASR) with large language models (LLMs). Interleaved streaming ASR-LLM…
FireRedAudio: A General-Purpose Audio Language Model with Decoupled Continuous Representations for Understanding and Generation
Feiyu Shen, Fenglong Xie, Junjie Li +13
A unified audio model must recognize and understand linguistic, paralinguistic, and environmental information while supporting speech synthesis and editing. A key challenge is repr…
FireRedASR2S: A State-of-the-Art Industrial-Grade All-in-One Automatic Speech Recognition System
Kaituo Xu, Yan Jia, Kai Huang +6
We present FireRedASR2S, a state-of-the-art industrial-grade all-in-one automatic speech recognition (ASR) system. It integrates four modules in a unified pipeline: ASR, Voice Acti…
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
Xiangheng He, Junjie Chen, Zixing Zhang +1
Prosody contains rich information beyond the literal meaning of words, which is crucial for the intelligibility of speech. Current models still fall short in phrasing and intonatio…
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
Junjie Chen, Xiangheng He, Yusuke Miyao +1
Unsupervised constituency parsers organize phrases within a sentence into a tree-shaped syntactic constituent structure that reflects the organization of sentence semantics. Howeve…
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
Junjie Chen, Xiangheng He, Danushka Bollegala +1
Unsupervised constituency parsing focuses on identifying word sequences that form a syntactic unit (i.e., constituents) in target sentences. Linguists identify the constituent by e…
Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits
Xiangheng He, Junjie Chen, Björn W. Schuller
Multi-task learning (MTL) aims to improve the performance of a primary task by jointly learning with related auxiliary tasks. Traditional MTL methods select tasks randomly during t…
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
Xiangheng He, Junjie Chen, Georgios Rizos +1
Emotional Voice Conversion (EVC) aims to convert the emotional style of a source speech signal to a target style while preserving its content and speaker identity information. Prev…