Cover Image

Paraformer-v2: An improved non-autoregressive transformer for noise-robust speech recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	An, Keyu, Li, Zerui, Gao, Zhifu, Zhang, Shiliang
Format:	Preprint
Published:	2024
Subjects:	Audio and Speech Processing Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards noise-robust speech inversion through multi-task learning with speech enhancement
by: Tabatabaee, Saba, et al.
Published: (2026)

From the perspective of perceptual speech quality: The robustness of frequency bands to noise
by: Fan, Junyi, et al.
Published: (2025)

CR-CTC: Consistency regularization on CTC for improved speech recognition
by: Yao, Zengwei, et al.
Published: (2024)

Are Transformers in Pre-trained LM A Good ASR Encoder? An Empirical Study
by: An, Keyu, et al.
Published: (2024)

Robust fine-tuning of speech recognition models via model merging: application to disordered speech
by: Ducorroy, Alexandre, et al.
Published: (2025)

Phoneme-based speech recognition driven by large language models and sampling marginalization
by: Ma, Te, et al.
Published: (2025)

Graph-based multi-Feature fusion method for speech emotion recognition
by: Liu, Xueyu, et al.
Published: (2024)

Thinking in cocktail party: Chain-of-Thought and reinforcement learning for target speaker automatic speech recognition
by: Zhang, Yiru, et al.
Published: (2025)

Improving child speech recognition with augmented child-like speech
by: Zhang, Yuanyuan, et al.
Published: (2024)

Language model integration based on memory control for sequence to sequence speech recognition
by: Cho, Jaejin, et al.
Published: (2018)

A lightweight and robust method for blind wideband-to-fullband extension of speech
by: Büthe, Jan, et al.
Published: (2024)

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
by: Du, Zhihao, et al.
Published: (2024)

Explore the Reinforcement Learning for the LLM based ASR and TTS system
by: Gao, Changfeng, et al.
Published: (2025)

GDiffuSE: Diffusion-based speech enhancement with noise model guidance
by: Yanir, Efrayim, et al.
Published: (2025)

Charting 15 years of progress in deep learning for speech emotion recognition: A replication study
by: Triantafyllopoulos, Andreas, et al.
Published: (2025)

PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
by: Pandey, Rahul, et al.
Published: (2023)

Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform
by: Xie, Yuan, et al.
Published: (2023)

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
by: Leygue, Tahitoa, et al.
Published: (2025)

AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection
by: Gong, Rong, et al.
Published: (2024)

LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition
by: Kwak, Doyeop, et al.
Published: (2026)

Advancing LLM-based phoneme-to-grapheme for multilingual speech recognition
by: Dong, Lukuang, et al.
Published: (2026)

Effects of automotive microphone frequency response characteristics and noise conditions on speech and ASR quality -- an experimental evaluation
by: Buccoli, Michele, et al.
Published: (2025)

I2TTS: Image-indicated Immersive Text-to-speech Synthesis with Spatial Perception
by: Zhang, Jiawei, et al.
Published: (2024)

Heterogeneous bimodal attention fusion for speech emotion recognition
by: Luo, Jiachen, et al.
Published: (2025)

EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient body-conduction microphones
by: Hauret, Julien, et al.
Published: (2022)

Toward noise-robust whisper keyword spotting on headphones with in-earcup microphone and curriculum learning
by: Yang, Qiaoyu
Published: (2025)

Tweaking autoregressive methods for inpainting of gaps in audio signals
by: Mokrý, Ondřej, et al.
Published: (2024)

Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus
by: Chen, Szu-Jui, et al.
Published: (2026)

Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech
by: Dineley, Judith, et al.
Published: (2023)

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding
by: Xi, Yu, et al.
Published: (2025)

Regularized autoregressive modeling and its application to audio signal reconstruction
by: Mokrý, Ondřej, et al.
Published: (2024)

Self-consistent context aware conformer transducer for speech recognition
by: Kolokolov, Konstantin, et al.
Published: (2024)

Enhancing CTC-based speech recognition with diverse modeling units
by: Han, Shiyi, et al.
Published: (2024)

An efficient text augmentation approach for contextualized Mandarin speech recognition
by: Zheng, Naijun, et al.
Published: (2024)

Zipformer: A faster and better encoder for automatic speech recognition
by: Yao, Zengwei, et al.
Published: (2023)

LLM-based phoneme-to-grapheme for phoneme-based speech recognition
by: Ma, Te, et al.
Published: (2025)

Robustifying automatic speech recognition by extracting slowly varying features
by: Pizarro, Matías, et al.
Published: (2021)

Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
by: Maiti, Soumi, et al.
Published: (2023)

On the effectiveness of enrollment speech augmentation for Target Speaker Extraction
by: Li, Junjie, et al.
Published: (2024)

Introduction to speech recognition
by: Dauphin, Gabriel
Published: (2024)