SOTAVerified

Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 851–900 of 3012 papers

TitleStatusHype
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping—0
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm—0
Enhancing Code-switching Speech Recognition with Interactive Language Biases—0
Wiki-En-ASR-Adapt: Large-scale synthetic dataset for English ASR Customization—0
Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-based ASR—0
Segmentation-Free Streaming Machine TranslationCode0
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition—0
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference—0
Connecting Speech Encoder and Large Language Model for ASR—0
Human Transcription Quality ImprovementCode0
Speech enhancement with frequency domain auto-regressive modeling—0
Cross-modal Alignment with Optimal Transport for CTC-based ASR—0
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model—0
Affect Recognition in Conversations Using Large Language Models—0
Massive End-to-end Models for Short Search Queries—0
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferencesCode0
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR—0
Sparsely Shared LoRA on Whisper for Child Speech Recognition—0
Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition—0
Exploring Speech Enhancement for Low-resource Speech Synthesis—0
Semi-Autoregressive Streaming ASR With Label Context—0
Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition—0
Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement—0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models—0
Instruction-Following Speech Recognition—0
Training dynamic models using early exits for automatic speech recognition on resource-constrained devicesCode0
Investigating End-to-End ASR Architectures for Long Form Audio Transcription—0
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting—0
HTEC: Human Transcription Error Correction—0
Enhancing Quantised End-to-End ASR Models via PersonalisationCode0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Improving Speech Recognition for African American English With Audio Classification—0
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints—0
t-SOT FNT: Streaming Multi-talker ASR with Text-only Domain Adaptation Capability—0
Transformer Based Punctuation Restoration for TurkishCode0
Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for Meeting Transcription—0
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network—0
Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks—0
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization—0
Enhancing Child Vocalization Classification with Phonetically-Tuned Embeddings for Assisting Autism Diagnosis—0
Can Whisper perform speech-based in-context learning?—0
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults—0
Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method—0
Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning FusionCode0
Leveraging Large Language Models for Exploiting ASR Uncertainty—0
Perceptual and Task-Oriented Assessment of a Semantic Metric for ASR EvaluationCode0
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems—0
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models—0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition—0
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning—0
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified