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 29513000 of 6433 papers

TitleStatusHype
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers0
ADIMA: Abuse Detection In Multilingual AudioCode0
Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition0
Multi-style Training for South African Call Centre Audio0
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme0
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference0
Multimodal Depression Classification Using Articulatory Coordination Features And Hierarchical Attention Based Text Embeddings0
USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder0
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model DecodingCode0
Ultra-low Power Always-on Intelligent and Connected SNN-based System for Multimedia IoT-enabled Applications0
The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications0
Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass0
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events0
Polyphonic pitch detection with convolutional recurrent neural networks0
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge0
Joint Speech Recognition and Audio Captioning0
The RoyalFlush System of Speech Recognition for M2MeT Challenge0
ASR-Aware End-to-end Neural Diarization0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT0
Error Correction in ASR using Sequence-to-Sequence Models0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
XLSR53 Wav2Vec2 Portuguese by Orlem SantosCode0
Language Dependencies in Adversarial Attacks on Speech Recognition Systems0
Visualizing Automatic Speech Recognition -- Means for a Better Understanding?0
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy0
Improving End-to-End Models for Set Prediction in Spoken Language Understanding0
Reducing language context confusion for end-to-end code-switching automatic speech recognition0
Neural-FST Class Language Model for End-to-End Speech Recognition0
Star Temporal Classification: Sequence Classification with Partially Labeled DataCode0
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition0
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition0
On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR0
Discovering Phonetic Inventories with Crosslingual Automatic Speech RecognitionCode0
Internal Language Model Estimation Through Explicit Context Vector Learning for Attention-based Encoder-decoder ASR0
The Norwegian Parliamentary Speech Corpus0
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models0
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR0
Improving the fusion of acoustic and text representations in RNN-T0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video0
Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition0
Data and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages0
PickNet: Real-Time Channel Selection for Ad Hoc Microphone Arrays0
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition0
Endpoint Detection for Streaming End-to-End Multi-talker ASR0
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition0
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer0
Human and Automatic Speech Recognition Performance on German Oral History Interviews0
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning0
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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