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 54515500 of 6433 papers

TitleStatusHype
Aided diagnosis of dementia type through computer-based analysis of spontaneous speech0
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools0
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition0
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale0
AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models0
A Joint Approach to Compound Splitting and Idiomatic Compound Detection0
A Joint Model of Orthography and Morphological Segmentation0
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework0
A kernel for time series based on global alignments0
AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model0
A Language Agnostic Multilingual Streaming On-Device ASR System0
A language score based output selection method for multilingual speech recognition0
A large-scale multimodal dataset of human speech recognition0
A LDA-Based Topic Classification Approach From Highly Imperfect Automatic Transcriptions0
A Leveled Reading Corpus of Modern Standard Arabic0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users0
A Lexical-aware Non-autoregressive Transformer-based ASR Model0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems0
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems0
A Lightweight Speaker Recognition System Using Timbre Properties0
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers0
Aligning Pre-trained Models for Spoken Language Translation0
Aligning Speech to Languages to Enhance Code-switching Speech Recognition0
Alignment-Based Neural Machine Translation0
Alignment Entropy Regularization0
Alignment-Free Training for Transducer-based Multi-Talker ASR0
Alignment Knowledge Distillation for Online Streaming Attention-based Speech Recognition0
Alignment Restricted Streaming Recurrent Neural Network Transducer0
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment0
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework0
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation0
A Likelihood Ratio based Domain Adaptation Method for E2E Models0
All-neural beamformer for continuous speech separation0
All-neural online source separation, counting, and diarization for meeting analysis0
AlloVera: A Multilingual Allophone Database0
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data0
Almost Unsupervised Text to Speech and Automatic Speech Recognition0
A Local Detection Approach for Named Entity Recognition and Mention Detection0
Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement0
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses0
A Mandarin-English Code-Switching Corpus0
Ambient Search: A Document Retrieval System for Speech Streams0
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network0
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition0
A Methodology for Obtaining Concept Graphs from Word Graphs0
Amharic-English Speech Translation in Tourism Domain0
A Mixture of Expert Based Deep Neural Network for Improved ASR0
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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