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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 1651–1700 of 3012 papers

TitleStatusHype
Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection—0
NUVA: A Naming Utterance Verifier for Aphasia Treatment—0
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
OAVA: the open audio-visual archives aggregator—0
Off-topic Response Detection for Spontaneous Spoken English Assessment—0
OLR 2021 Challenge: Datasets, Rules and Baselines—0
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet—0
On Building Spoken Language Understanding Systems for Low Resourced Languages—0
On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode—0
On Construction of the ASR-oriented Indian English Pronunciation Dictionary—0
On-Device detection of sentence completion for voice assistants with low-memory footprint—0
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech—0
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer—0
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement—0
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
One-To-Many Multilingual End-to-end Speech Translation—0
On Knowledge Distillation for Direct Speech Translation—0
On Knowledge Distillation for Translating Erroneous Speech Transcriptions—0
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models—0
Online Automatic Speech Recognition with Listen, Attend and Spell Model—0
Online Continual Learning of End-to-End Speech Recognition Models—0
Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture—0
On Modular Training of Neural Acoustics-to-Word Model for LVCSR—0
On Neural Phone Recognition of Mixed-Source ECoG Signals—0
On Prosody Modeling for ASR+TTS based Voice Conversion—0
On Sampling-Based Training Criteria for Neural Language Modeling—0
On Spoken Language Understanding Systems for Low Resourced Languages—0
On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models—0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition—0
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech—0
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures—0
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition—0
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
On the N-gram Approximation of Pre-trained Language Models—0
On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition—0
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition—0
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications—0
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers—0
On the verbalization patterns of part-whole relations in isiZulu—0
ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
On using 2D sequence-to-sequence models for speech recognition—0
On using the UA-Speech and TORGO databases to validate automatic dysarthric speech classification approaches—0
OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking—0
Open ASR for Icelandic: Resources and a Baseline System—0
Open Challenge for Correcting Errors of Speech Recognition Systems—0
Open Implementation and Study of BEST-RQ for Speech Processing—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