yusuke1997/dblp-id-title huggingface dataset:
From Modern Standard Arabic to Levantine ASR: Leveraging GALE for dialects
Overlap-Aware Low-Latency Online Speaker Diarization Based on End-to-End Local Segmentation
Structured discriminative models using deep neural-network features
Exploring Effective Data Augmentation with TDNN-LSTM Neural Network Embedding for Speaker Recognition
Locality Enhanced Dynamic Biasing and Sampling Strategies For Contextual ASR
Consolidation based speech translation
Multilingual and Crosslingual Speech Recognition Using Phonological-Vector Based Phone Embeddings
A multiplatform speech recognition decoder based on weighted finite-state transducers
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model
Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models
EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding
Applying Multiclass Bandit algorithms to call-type classification
Acoustics-Text Dual-Modal Joint Representation Learning for Cover Song Identification
Multi-reference WER for evaluating ASR for languages with no orthographic rules
Deep bottleneck features for i-vector based text-independent speaker verification
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition
Roles of high-fidelity acoustic modeling in robust speech recognition
Semantic entity detection from multiple ASR hypotheses within the WFST framework
Applying feature bagging for more accurate and robust automated speaking assessment
Two-Pass Endpoint Detection for Speech Recognition
Dynamic time-aware attention to speaker roles and contexts for spoken language understanding
Crosssinger: A Cross-Lingual Multi-Singer High-Fidelity Singing Voice Synthesizer Trained on Monolingual Singers
Randomized maximum entropy language models
Sparse non-negative matrix language modeling for geo-annotated query session data
Generalization problem in ASR acoustic model training and adaptation
Unsupervised Adaptation of Acoustic Models for ASR Using Utterance-Level Embeddings from Squeeze and Excitation Networks
Uncertainty in training large vocabulary speech recognizers
Learning modality-invariant representations for speech and images
Vector Taylor series based HMM adaptation for generalized cepstrum in noisy environment
Variational Bayesian PLDA for speaker diarization in the MGB challenge
K-component recurrent neural network language models using curriculum learning
Early and late integration of audio features for automatic video description
Adaptive beamforming and adaptive training of DNN acoustic models for enhanced multichannel noisy speech recognition
Towards choosing better primes for spoken dialog systems
Vits-Based Singing Voice Conversion Leveraging Whisper and Multi-Scale F0 Modeling
Robust speech recognition in unknown reverberant and noisy conditions
Matched-condition robust Dynamic Noise Adaptation
Dialect Adaptation and Data Augmentation for Low-Resource ASR: Taltech Systems for the Madasr 2023 Challenge
Speaker adaptation based on speaker-dependent eigenphone estimation
Deep bi-directional recurrent networks over spectral windows
Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments
Paraconsistent Feature Analysis for the Competency Evaluation of Voice Impersonation
Pronunciation modeling for dialectal arabic speech recognition
Don't multiply lightly: Quantifying problems with the acoustic model assumptions in speech recognition
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, ASRU 2009, Merano/Meran, Italy, December 13-17, 2009
Domain Adaptation by Data Distribution Matching Via Submodularity For Speech Recognition
Discriminative reranking of ASR hypotheses with morpholexical and N-best-list features
Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition
Analytical comparison between position specific posterior lattices and confusion networks based on words and subword units for spoken document indexing
Frame-level AnyBoost for LVCSR with the MMI Criterion
On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models
Spoof Detection Using Time-Delay Shallow Neural Network and Feature Switching
End-to-End Code-Switching ASR for Low-Resourced Language Pairs
Spoofing detection via simultaneous verification of audio-visual synchronicity and transcription
Sa-Paraformer: Non-Autoregressive End-To-End Speaker-Attributed ASR
Sub-structure-based estimation of pronunciation proficiency and classification of learners
Introduction of the METI project "development of fundamental speech recognition technology"
Multi-domain dialogue success classifiers for policy training
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
Comparing one and two-stage acoustic modeling in the recognition of emotion in speech
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning
Data Augmentation Based on Vowel Stretch for Improving Children's Speech Recognition
Speech enhancement using beamforming and non negative matrix factorization for robust speech recognition in the CHiME-3 challenge
Beyond Isolated Utterances: Conversational Emotion Recognition
Fast-Hubert: an Efficient Training Framework for Self-Supervised Speech Representation Learning
Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks
Improving data selection for low-resource STT and KWS
Listening while speaking: Speech chain by deep learning
Acoustic modelling with CD-CTC-SMBR LSTM RNNS
Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction
Accelerating recurrent neural network training via two stage classes and parallelization
Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings
Multi-Task Audio Source Separation
Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations
Deep maxout neural networks for speech recognition
DEEPA: A Deep Neural Analyzer for Speech and Singing Vocoding
Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text
Subword-based automatic lexicon learning for Speech Recognition
Dover: A Method for Combining Diarization Outputs
Joint Distribution Learning in the Framework of Variational Autoencoders for Far-Field Speech Enhancement
Learning better lexical properties for recurrent OOV words
Prompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition
Meeting recognition with asynchronous distributed microphone array
Agglomerative information bottleneck for speaker diarization of meetings data
In Pursuit of Babel - Multilingual End-to-End Spoken Language Understanding
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer
Optimizing Neural Network Embeddings Using a Pair-Wise Loss for Text-Independent Speaker Verification
Pseudo-Label Based Supervised Contrastive Loss for Robust Speech Representations
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition
An improved parallel model combination method for noisy speech recognition
The Asian network-based speech-to-speech translation system
A Conformer-Based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation
A Comparison of Streaming Models and Data Augmentation Methods for Robust Speech Recognition
A study of lattice-based spoken term detection for Chinese spontaneous speech
Multilingual Bottleneck Features for Query by Example Spoken Term Detection
Robust speaker clustering strategies to data source variation for improved speaker diarization
Rapid language adaptation tools for multilingual speech processing
Semi-supervised slot tagging in spoken language understanding using recurrent transductive support vector machines
Semi-Supervised Multi-Channel Speaker Diarization With Cross-Channel Attention
NMF-based keyword learning from scarce data
Incremental LSTM-based dialog state tracker
Development of the 2007 RWTH Mandarin LVCSR system
A factored conditional random field model for articulatory feature forced transcription
Efficient spoken term discovery using randomized algorithms
Online Batch Normalization Adaptation for Automatic Speech Recognition
An hierarchical exemplar-based sparse model of speech, with an application to ASR
State-dependent mixture tying with variable codebook size for accented speech recognition
Keyword spotting for Google assistant using contextual speech recognition
Combining statistical models with symbolic grammar in parsing
Scaling End-to-End Models for Large-Scale Multilingual ASR
A study on rescoring using HMM-based detectors for continuous speech recognition
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription
Iterative decoding: A novel re-scoring framework for confusion networks
Bidirectional OM-LSA speech estimator for noise robust speech recognition
"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations
Language style and domain adaptation for cross-language SLU porting
Discriminative training of context-dependent language model scaling factors and interpolation weights
SI-Net: Multi-Scale Context-Aware Convolutional Block for Speaker Verification
Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models
Audio-Visual Speech Recognition is Worth $32\times 32\times 8$ Voxels
An Investigation of LSTM-CTC based Joint Acoustic Model for Indian Language Identification
Empirical study of neural network language models for Arabic speech recognition
Learning factorized feature transforms for speaker normalization
Cross-lingual portability of Chinese and english neural network features for French and German LVCSR
Context-Aware Transformer Transducer for Speech Recognition
Vietnamese large vocabulary continuous speech recognition
Using Very Deep Convolutional Neural Networks to Automatically Detect Plagiarized Spoken Responses
Recognition and understanding of meetings the AMI and AMIDA projects
Incorporating paragraph embeddings and density peaks clustering for spoken document summarization
Improving Audiovisual Active Speaker Detection in Egocentric Recordings with the Data-Efficient Image Transformer
Leveraging speech production knowledge for improved speech recognition
Building a highly accurate Mandarin speech recognizer
Exploring the use of acoustic embeddings in neural machine translation
Minimum detection error training of subword detectors
Aalto system for the 2017 Arabic multi-genre broadcast challenge
Automatic detection of vowel pronunciation errors using multiple information sources
Self-Adaptive Soft Voice Activity Detection Using Deep Neural Networks for Robust Speaker Verification
Robust topic inference for latent semantic language model adaptation
Exploring Teacher-Student Learning Approach for Multi-Lingual Speech-to-Intent Classification
Improved system fusion for keyword search
KAQ: A Non-Intrusive Stacking Framework for Mean Opinion Score Prediction with Multi-Task Learning
2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017, Okinawa, Japan, December 16-20, 2017
Cross-lingual context sharing and parameter-tying for multi-lingual speech recognition
CNN with Phonetic Attention for Text-Independent Speaker Verification
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement
Investigating linguistic knowledge in a maximum entropy token-based language model
Acoustic modeling using transform-based phone-cluster adaptive training
The zero resource speech challenge 2017
Orthogonality Constrained Multi-Head Attention for Keyword Spotting
Voxceleb Enrichment for Age and Gender Recognition
Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge
Speaker Verification with Application-Aware Beamforming
Zero-Shot Code-Switching ASR and TTS with Multilingual Machine Speech Chain
HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network
Extracting bottleneck features and word-like pairs from untranscribed speech for feature representation
An investigation of heuristic, manual and statistical pronunciation derivation for Pashto
Improved cepstral mean and variance normalization using Bayesian framework
Emoception: An Inception Inspired Efficient Speech Emotion Recognition Network
On Architectures and Training for Raw Waveform Feature Extraction in ASR
Speech enhancement using PCA and variance of the reconstruction error in distributed speech recognition
Non-native speech databases
Future word contexts in neural network language models
Robust seed model training for speaker adaptation using pseudo-speaker features generated by inverse CMLLR transformation
Robust speech recognition using articulatory gestures in a Dynamic Bayesian Network framework
Single and multi-channel approaches for distant speech recognition under noisy reverberant conditions: I2R'S system description for the ASpIRE challenge
Phonological feature based variable frame rate scheme for improved speech recognition
An algorithm for fast composition of weighted finite-state transducers
WERD: Using social text spelling variants for evaluating dialectal speech recognition
A Dropout-Based Single Model Committee Approach for Active Learning in ASR
Latent semantic analysis for question classification with neural networks
Automatic model complexity control for generalized variable parameter HMMs
Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition
Learning state labels for sparse classification of speech with matrix deconvolution
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
Semi-Supervised Training and Data Augmentation for Adaptation of Automatic Broadcast News Captioning Systems
An SVD-based scheme for MFCC compression in distributed speech recognition system
Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch
Action Item Detection in Meetings Using Pretrained Transformers
Transformer Attractors for Robust and Efficient End-To-End Neural Diarization
Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech
RNNDROP: A novel dropout for RNNS in ASR
Improved Multi-Stage Training of Online Attention-Based Encoder-Decoder Models
A study of supervised intrinsic spectral analysis for TIMIT phone classification
Remember the Context! ASR Slot Error Correction Through Memorization
Voice/audio information retrieval: minimizing the need for human ears
Local and global models for spontaneous speech segment detection and characterization
Leveraging the Multilingual Indonesian Ethnic Languages Dataset In Self-Supervised Models for Low-Resource ASR Task
Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting
Bayesian Adversarial Learning for Speaker Recognition
A comparative study of neural network models for lexical intent classification
Verifying Deep Keyword Spotting Detection with Acoustic Word Embeddings
Few-Shot Spoken Language Understanding Via Joint Speech-Text Models
Lightly supervised automatic subtitling of weather forecasts
Layer-Wise Analysis of a Self-Supervised Speech Representation Model
Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning
Phonetic unit selection for cross-lingual query-by-example spoken term detection
Employing web search query click logs for multi-domain spoken language understanding
Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks
Can We Use Speaker Embeddings On Spontaneous Speech Obtained From Medical Conversations To Predict Intelligibility?
Spoken language understanding with kernels for syntactic/semantic structures
ASR for electro-laryngeal speech
A Token-Wise Beam Search Algorithm for RNN-T
Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimers Speech Detection
Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors
Integrating prosodic features in extractive meeting summarization
MACCIF-TDNN: Multi Aspect Aggregation of Channel and Context Interdependence Features in TDNN-Based Speaker Verification
Implementation of generic positive-negative tracker in extensible dialog system
JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS
Mandarin Electrolaryngeal Speech Voice Conversion with Sequence-to-Sequence Modeling
GPU-Accelerated Wfst Beam Search Decoder for CTC-Based Speech Recognition
DNN acoustic modeling with modular multi-lingual feature extraction networks
Binaural processing for robust recognition of degraded speech
Response timing generation and response type selection for a spontaneous spoken dialog system
Semi-supervised bootstrapping approach for neural network feature extractor training
Evolutionary discriminative speaker adaptation
Personalizing universal recurrent neural network language model with user characteristic features by social network crowdsourcing
Query understanding enhanced by hierarchical parsing structures
The ESAT 2008 system for N-Best Dutch speech recognition benchmark
Enabling Zero-Shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models
Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning Attacks
Learning continuous representation of text for phone duration modeling in statistical parametric speech synthesis
Detection of OOV words by combining acoustic confidence measures with linguistic features
A hierarchical system for word discovery exploiting DTW-based initialization
Logistic Similarity Metric Learning via Affinity Matrix for Text-Independent Speaker Verification
Speaker adaptation of neural network acoustic models using i-vectors
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference
Consistency Based Unsupervised Self-Training for ASR Personalisation
Robust speech recognition by properly utilizing reliable frames and segments in corrupted signals
Robust End-to-End Diarization with Domain Adaptive Training and Multi-Task Learning
Towards Matching Phones and Speech Representations
Speaker adaptive joint training of Gaussian mixture models and bottleneck features
2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015, Scottsdale, AZ, USA, December 13-17, 2015
Robust ASR using neural network based speech enhancement and feature simulation
Pareto Efficiency of Learning-Forgetting Trade-Off in Neural Language Model Adaptation
Incremental sentence compression using LSTM recurrent networks
A compact semidefinite programming (SDP) formulation for large margin estimation of HMMS in speech recognition
Improving native language (L1) identifation with better VAD and TDNN trained separately on native and non-native English corpora
Never-ending learning system for on-line speaker diarization
Reducing the computational complexity for whole word models
Estimating document frequencies in a speech corpus
Generative Linguistic Representation for Spoken Language Identification
Efficient Free Keyword Detection Based on CNN and End-to-End Continuous DP-Matching
Improving Speech Enhancement Using Audio Tagging Knowledge From Pre-Trained Representations and Multi-Task Learning
Streaming small-footprint keyword spotting using sequence-to-sequence models
Language modeling with neural trans-dimensional random fields
Language modeling with highway LSTM
A study on hidden Markov model's generalization capability for speech recognition
Large-margin feature adaptation for automatic speech recognition
An investigation of multi-speaker training for wavenet vocoder
Spoken Multiple-Choice Question Answering Using Multimodal Convolutional Neural Networks
Virtual Adversarial Training for DS-CNN Based Small-Footprint Keyword Spotting
Warped Ensembles: A Novel Technique for Improving CTC Based End-to-End Speech Recognition
Topic-space based setup of a neural network for theme identification of highly imperfect transcriptions
Investigation of Shallow Wavenet Vocoder with Laplacian Distribution Output
Vibrato Learning in Multi-Singer Singing Voice Synthesis
DeepLip: A Benchmark for Deep Learning-Based Audio-Visual Lip Biometrics
Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPS
Improving Speech Enhancement with Phonetic Embedding Features
Towards bottom-up continuous phone recognition
Robust speech recognition using a Small Power Boosting algorithm
Representing the Reinforcement Learning state in a negotiation dialogue
Diagonal priors for full covariance speech recognition
Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models
Transfer Learning for Context-Aware Spoken Language Understanding
Mask estimation employing Posterior-based Representative Mean for missing-feature speech recognition with time-varying background noise
Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization
Injecting Text in Self-Supervised Speech Pretraining
JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning
CAMSAT: Augmentation Mix and Self-Augmented Training Clustering for Self-Supervised Speaker Recognition
Improving the interpretability of deep neural networks with stimulated learning
Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding
Controlling Emotion Strength with Relative Attribute for End-to-End Speech Synthesis
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Automatic speech recognition of Arabic multi-genre broadcast media
Multi Transcription-Style Speech Transcription Using Attention-Based Encoder-Decoder Model
The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech
Speaker Conditioning of Acoustic Models Using Affine Transformation for Multi-Speaker Speech Recognition
A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023
Spatio-Temporal Context Modelling for Speech Emotion Classification
Tackling unseen acoustic conditions in query-by-example search using time and frequency convolution for multilingual deep bottleneck features
Model-Based Fairness Metric for Speaker Verification
ECAPA2: A Hybrid Neural Network Architecture and Training Strategy for Robust Speaker Embeddings
Unsupervised learning in cross-corpus acoustic emotion recognition
Investigating native and non-native English classification and transfer effects using Legendre polynomial coefficient clustering
Mitigating the impact of speech recognition errors on chatbot using sequence-to-sequence model
The exploration/exploitation trade-off in Reinforcement Learning for dialogue management
Dysfluent speech detection by image forensics techniques
Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results
Two extensions to ensemble speaker and speaking environment modeling for robust automatic speech recognition
Attention-Based Scaling Adaptation for Target Speech Extraction
Dialogue Strategy Adaptation to New Action Sets Using Multi-Dimensional Modelling
Hierarchical large-margin Gaussian mixture models for phonetic classification
The IBM keyword search system for the DARPA RATS program