New algorithms and approaches for speech recognition

PRACTICE OF THE CONFORMER ENHANCED AUDIO-VISUAL HUBERT ON MANDARIN AND ENGLISH

I3D: Transformer architectures with input-dependent dynamic depth for speech recognition

Noise-aware target extension with self-distillation for robust speech recognition

A Quantum Approach for Stochastic Constrained Binary Optimization

Factorized AED: Factorized Attention-based Encoder-Decoder for Text-only Domain Adaptive ASR

FINDADAPTNET: FIND AND INSERT ADAPTERS BY LEARNED LAYER IMPORTANCE

VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition

Learning Quantum Entanglement Distillation with Noisy Classical Communications

Joint Discriminator and Transfer Based Fast Domain Adaptation for End-to-End Speech Recognition

A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One

Once-for-All Sequence Compression for Self-Supervised Speech Models

SPEECH AND NOISE DUAL-STREAM SPECTROGRAM REFINE NETWORK WITH SPEECH DISTORTION LOSS FOR ROBUST SPEECH RECOGNITION