SOTAVerified

Speech Recognition

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

( Image credit: SpecAugment )

Papers

Showing 31013150 of 6433 papers

TitleStatusHype
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence0
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization0
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals0
Indigenous language technologies in Canada: Assessment, challenges, and successes0
Individuality-preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization0
Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF0
Indonesian Automatic Speech Recognition with XLSR-530
Inference with Hybrid Bio-hardware Neural Networks0
Information Navigation System with Discovering User Interests0
Information Theoretic Analysis of DNN-HMM Acoustic Modeling0
Initial Decoding with Minimally Augmented Language Model for Improved Lattice Rescoring in Low Resource ASR0
Injecting Text in Self-Supervised Speech Pretraining0
In-Materia Speech Recognition0
Inner speech recognition through electroencephalographic signals0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation0
Innovative Pretrained-based Reranking Language Models for N-best Speech Recognition Lists0
InproTKs: A Toolkit for Incremental Situated Processing0
Input Length Matters: Improving RNN-T and MWER Training for Long-form Telephony Speech Recognition0
Insights on Neural Representations for End-to-End Speech Recognition0
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home0
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers0
Instruction-Following Speech Recognition0
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices0
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition0
Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis0
An Online Attention-based Model for Speech Recognition0
Integrating Categorical Features in End-to-End ASR0
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models0
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition0
Integrating Incremental Speech Recognition and POMDP-Based Dialogue Systems0
Enhanced CORILGA: Introducing the Automatic Phonetic Alignment Tool for Continuous Speech0
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring0
Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction0
Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding0
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding0
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models0
Integrating Knowledge into End-to-End Speech Recognition from External Text-Only Data0
Integration of Frame- and Label-synchronous Beam Search for Streaming Encoder-decoder Speech Recognition0
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis0
Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder0
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation0
Intelligent Conversational Bot for Massive Online Open Courses (MOOCs)0
Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries0
Intelligent Personal Assistant with Knowledge Navigation0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition0
Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages0
English Conversational Telephone Speech Recognition by Humans and Machines0
Interactive decoding of words from visual speech recognition models0
English Broadcast News Speech Recognition by Humans and Machines0
A non-expert Kaldi recipe for Vietnamese Speech Recognition System0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
10Gated ConvNetsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7DNN MPEPercentage error12.9Unverified
8DNN MMIPercentage error12.9Unverified
9HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
10HMM-DNN +sMBRPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
7TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified