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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 2901–2950 of 3012 papers

TitleStatusHype
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm—0
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition—0
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs—0
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR—0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding—0
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling—0
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models—0
Bridging the Modality Gap: Softly Discretizing Audio Representation for LLM-based Automatic Speech Recognition—0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition—0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators—0
BSTC: A Large-Scale Chinese-English Speech Translation Dataset—0
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text—0
BUCEADOR, a multi-language search engine for digital libraries—0
Building Accurate Low Latency ASR for Streaming Voice Search—0
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition—0
Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data—0
Building and Evaluation of a Real Room Impulse Response Dataset—0
Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems—0
Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale—0
Building a Public Domain Voice Database for Odia—0
Building a Unified Code-Switching ASR System for South African Languages—0
Building competitive direct acoustics-to-word models for English conversational speech recognition—0
Building English ASR model with regional language support—0
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech—0
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments—0
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline—0
BUT Opensat 2019 Speech Recognition System—0
BUT System for the MLC-SLM Challenge—0
Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts—0
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition—0
CAFE A Novel Code switching Dataset for Algerian Dialect French and English—0
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection—0
Calibration of Phone Likelihoods in Automatic Speech Recognition—0
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition—0
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin—0
Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?—0
Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling—0
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition—0
Can Whisper perform speech-based in-context learning?—0
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers—0
Capitalization and Punctuation Restoration: a Survey—0
Capturing Multi-Resolution Context by Dilated Self-Attention—0
CarneliNet: Neural Mixture Model for Automatic Speech Recognition—0
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition—0
Cascaded Cross-Modal Transformer for Request and Complaint Detection—0
Cascaded encoders for unifying streaming and non-streaming ASR—0
Cascaded Models With Cyclic Feedback For Direct Speech Translation—0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—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