---
title: "Interspeech 2024 — all accepted papers, page 10"
description: "All 1,026 papers of Interspeech 2024 · page 10 of 11, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/10/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/10/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) / [2024](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/) / [papers](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/) / page 10

# Interspeech 2024: all accepted papers

1,026 papers · page 10 of 11 · the most cited first · [← Interspeech 2024](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/)

[← prev](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/9/) [1](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/) … [9](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/9/) **10** [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/11/)

901. **[Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation ↗](https://doi.org/10.21437/interspeech.2024-1404)**Bin Zhao, Mingxuan Huang, Chenlu Ma et al.
902. **[Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content ↗](https://doi.org/10.21437/interspeech.2024-1163)**Rémi Uro, Marie Tahon, David Doukhan et al.
903. **[Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation ↗](https://doi.org/10.21437/interspeech.2024-616)**Nameer Hirschkind, Xiao Yu, Mahesh Kumar Nandwana et al.
904. **[Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations ↗](https://doi.org/10.21437/interspeech.2024-394)**Guillem Bonafos, Clara Bourot, Pierre Pudlo et al.
905. **[Do we EXPECT TO find phonetic traces for syntactic traces? ↗](https://doi.org/10.21437/interspeech.2024-2190)**Jonathan Him Nok Lee, Mark Liberman, Martin Salzmann
906. **[Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging ↗](https://doi.org/10.21437/interspeech.2024-1331)**Aryan Chaudhary, Arshdeep Singh, Vinayak Abrol et al.
907. **[Efficient SQA from Long Audio Contexts: A Policy-driven Approach ↗](https://doi.org/10.21437/interspeech.2024-543)**Alexander Johnson, Peter Plantinga, Pheobe Sun et al.
908. **[Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping ↗](https://doi.org/10.21437/interspeech.2024-536)**Lun Wang, Om Dipakbhai Thakkar, Zhong Meng et al.
909. **[Electroglottography for the assessment of dysphonia in Parkinson's disease and multiple system atrophy ↗](https://doi.org/10.21437/interspeech.2024-1144)**Khalid Daoudi, Solange Milhé de Saint Victor, Alexandra Foubert‐Samier et al.
910. **[Elucidating Clock-drift Using Real-world Audios In Wireless Mode For Time-offset Insensitive End-to-End Asynchronous Acoustic Echo Cancellation ↗](https://doi.org/10.21437/interspeech.2024-854)**Premanand Nayak, M. Ali Basha Shaik
911. **[Enabling Conversational Speech Synthesis using Noisy Spontaneous Data ↗](https://doi.org/10.21437/interspeech.2024-2403)**Liisa Rätsep, Rasmus Lellep, Mark Fishel
912. **[Enhanced Feature Learning with Normalized Knowledge Distillation for Audio Tagging ↗](https://doi.org/10.21437/interspeech.2024-1433)**Yuwu Tang, Ziang Ma, Haitao Zhang
913. **[Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies ↗](https://doi.org/10.21437/interspeech.2024-2418)**Srija Anand, Praveen Srinivasa Varadhan, Ashwin Sankar et al.
914. **[Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features ↗](https://doi.org/10.21437/interspeech.2024-1596)**Liangwei Chen, Xiren Zhou, Qiang Tu et al.
915. **[Ethnolinguistic Identification of Vietnamese-German Heritage Speech ↗](https://doi.org/10.21437/interspeech.2024-274)**Thanh Lan Truong, Andréa Weber
916. **[Evaluating Italian Vowel Variation with the Recurrent Neural Network Phonet ↗](https://doi.org/10.21437/interspeech.2024-317)**Austin Jones, Margaret E. L. Renwick
917. **[Evaluating Speech Recognition Performance Towards Large Language Model Based Voice Assistants ↗](https://doi.org/10.21437/interspeech.2024-635)**Zhe Liu, Suyoun Kim, Ozlem Kalinli
918. **[Evaluating the Santa Barbara Corpus: Challenges of the Breadth of Conversational Spoken Language ↗](https://doi.org/10.21437/interspeech.2024-2119)**Matthew Maciejewski, Dominik Klement, Ruizhe Huang et al.
919. **[Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification ↗](https://doi.org/10.21437/interspeech.2024-1657)**Yaqian Hao, Chenguang Hu, Yingying Gao et al.
920. **[Exploring Sentence Type Effects on the Lombard Effect and Intelligibility Enhancement: A Comparative Study of Natural and Grid Sentences ↗](https://doi.org/10.21437/interspeech.2024-691)**Hongyang Chen, Yuhong Yang, Zhongyuan Wang et al.
921. **[Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech ↗](https://doi.org/10.21437/interspeech.2024-802)**Martina Valente, Fabio Brugnara, Giovanni Morrone et al.
922. **[Exploring Syllable Discriminability during Diadochokinetic Task with Increasing Dysarthria Severity for Patients with Amyotrophic Lateral Sclerosis ↗](https://doi.org/10.21437/interspeech.2024-1175)**Neelesh Samptur, Tanuka Bhattacharjee, Anirudh Chakravarty K et al.
923. **[Exploring compressibility of transformer based text-to-music (TTM) models ↗](https://doi.org/10.21437/interspeech.2024-1071)**Vasileios Moschopoulos, Thanasis Kotsiopoulos, Pablo Peso Parada et al.
924. **[Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions ↗](https://doi.org/10.21437/interspeech.2024-2337)**Jingyi Feng, Yusuke Yasuda, Tomoki Toda
925. **[Familiar and Unfamiliar Speaker Identification in Speech and Singing ↗](https://doi.org/10.21437/interspeech.2024-1763)**Katelyn Taylor, Amelia Gully, Helena Daffern
926. **[From Sound to Meaning in the Auditory Cortex: A Neuronal Representation and Classification Analysis ↗](https://doi.org/10.21437/interspeech.2024-2531)**Kumar Neelabh, Vishnu Sreekumar
927. **[Gender and Language Identification in Multilingual Models of Speech: Exploring the Genericity and Robustness of Speech Representations ↗](https://doi.org/10.21437/interspeech.2024-953)**Séverine Guillaume, Maxime Fily, Alexis Michaud et al.
928. **[Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification ↗](https://doi.org/10.21437/interspeech.2024-531)**Anith Selvakumar, Homa Fashandi
929. **[Hierarchical Multi-Task Learning with CTC and Recursive Operation ↗](https://doi.org/10.21437/interspeech.2024-1542)**Nahomi Kusunoki, Yosuke Higuchi, Tetsuji Ogawa et al.
930. **[Homograph Disambiguation with Text-to-Text Transfer Transformer ↗](https://doi.org/10.21437/interspeech.2024-949)**Markéta Řezáčková, Daniel Tihelka, Jindřich Matoušek
931. **[How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines ↗](https://doi.org/10.21437/interspeech.2024-1258)**Ailin Liu, Pepijn Vunderink, Jose Vargas Quiros et al.
932. **[Impact of the tonal factor on diphthong realizations in Standard Mandarin with Generalized Additive Mixed Models ↗](https://doi.org/10.21437/interspeech.2024-303)**Chenyu Li, Jalal Al‐Tamimi
933. **[Improved Factorized Neural Transducer Model For Text-only Domain Adaptation ↗](https://doi.org/10.21437/interspeech.2024-812)**Junzhe Liu, Jianwei Yu, Xie Chen
934. **[Improved Remixing Process for Domain Adaptation-Based Speech Enhancement by Mitigating Data Imbalance in Signal-to-Noise Ratio ↗](https://doi.org/10.21437/interspeech.2024-1488)**Li Li, Shogo Seki
935. **[Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation ↗](https://doi.org/10.21437/interspeech.2024-367)**Jingze Lu, Yuxiang Zhang, Z. Li et al.
936. **[In search of structure and correspondence in intra-speaker trial-to-trial variability ↗](https://doi.org/10.21437/interspeech.2024-2456)**Vivian G. Li
937. **[Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer ↗](https://doi.org/10.21437/interspeech.2024-653)**Peng Wang, Yifan Yang, Zheng Liang et al.
938. **[Influences of Morphosyntax and Semantics on the Intonation of Mandarin Chinese Wh-indeterminates ↗](https://doi.org/10.21437/interspeech.2024-2004)**Hongchen Wu, Jiwon Yun
939. **[Intrusive schwa within French stop-liquid clusters: An acoustic analysis ↗](https://doi.org/10.21437/interspeech.2024-1841)**Minmin Yang, Rachid Ridouane B
940. **[Investigating the Influence of Stance-Taking on Conversational Timing of Task-Oriented Speech ↗](https://doi.org/10.21437/interspeech.2024-2381)**Sara Ng, Gina‐Anne Levow, Mari Ostendorf et al.
941. **[Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices. ↗](https://doi.org/10.21437/interspeech.2024-1982)**Atli Sigurgeirsson, Eddie L. Ungless
942. **[Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks ↗](https://doi.org/10.21437/interspeech.2024-2346)**Nan Chen, Yonghe Wang, Feilong Bao
943. **[Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition ↗](https://doi.org/10.21437/interspeech.2024-1342)**Hao Yen, Pin-Jui Ku, Sabato Marco Siniscalchi et al.
944. **[Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning ↗](https://doi.org/10.21437/interspeech.2024-562)**Chung-Ming Chien, Andros Tjandra, Apoorv Vyas et al.
945. **[Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer ↗](https://doi.org/10.21437/interspeech.2024-66)**Siqi Sun, Korin Richmond
946. **[Learning Representation of Therapist Empathy in Counseling Conversation Using Siamese Hierarchical Attention Network ↗](https://doi.org/10.21437/interspeech.2024-2483)**Dehua Tao, Tan Lee, Harold T. Chui et al.
947. **[Leveraging Adapter for Parameter-Efficient ASR Encoder ↗](https://doi.org/10.21437/interspeech.2024-334)**Kyuhong Shim, Jinkyu Lee, Hyunjae Kim
948. **[Leveraging Speech Data Diversity to Document Indigenous Heritage and Culture ↗](https://doi.org/10.21437/interspeech.2024-2107)**Allahsera Auguste Tapo, Éric Le Ferrand, Zoey Liu et al.
949. **[Lightweight Audio Segmentation for Long-form Speech Translation ↗](https://doi.org/10.21437/interspeech.2024-790)**Jaesong Lee, So Yoon Kim, Hanbyul Kim et al.
950. **[Lightweight Transducer Based on Frame-Level Criterion ↗](https://doi.org/10.21437/interspeech.2024-768)**Genshun Wan, M. L. Wang, Tingzhi Mao et al.
951. **[Listeners' F0 preferences in quiet and stationary noise ↗](https://doi.org/10.21437/interspeech.2024-14)**Olympia Simantiraki, Martin P. Cooke
952. **[Low Complexity Echo Delay Estimator Based on Binarized Feature Matching ↗](https://doi.org/10.21437/interspeech.2024-107)**Yi Gao, Xiang Jun Su
953. **[MSceneSpeech: A Multi-Scene Speech Dataset For Expressive Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2024-266)**Qian Yang, Jialong Zuo, SU Zhe et al.
954. **[Modeling Vocal Tract Like Acoustic Tubes Using the Immersed Boundary Method ↗](https://doi.org/10.21437/interspeech.2024-2087)**Rongshuai Wu, Debasish Ray Mohapatra, Sidney Fels
955. **[Modeling probabilistic reduction across domains with Naive Discriminative Learning ↗](https://doi.org/10.21437/interspeech.2024-1118)**Anna H. Stein, Kevin Tang
956. **[Modelling Lexical Characteristics of the Healthy Aging Population: A Corpus-Based Study ↗](https://doi.org/10.21437/interspeech.2024-1871)**Han Kunmei
957. **[Multi-modal Adversarial Training for Zero-Shot Voice Cloning ↗](https://doi.org/10.21437/interspeech.2024-1313)**John Janiczek, Dading Chong, Dongyang Dai et al.
958. **[Multimodal Belief Prediction ↗](https://doi.org/10.21437/interspeech.2024-2103)**John Murzaku, Adil Soubki, Owen Rambow
959. **[Multimodal Fusion for Vocal Biomarkers Using Vector Cross-Attention ↗](https://doi.org/10.21437/interspeech.2024-156)**Vladimir Despotović, Abir Elbéji, Petr V. Nazarov et al.
960. **[Nasal Air Flow During Speech Production In Korebaju ↗](https://doi.org/10.21437/interspeech.2024-1674)**Jenifer Vega Rodríguez, Nathalie Vallée, Christophe Savariaux et al.
961. **[Neural ATSM: Fully Neural Network-based Adaptive Time-Scale Modification Using Sentence-Specific Dynamic Control ↗](https://doi.org/10.21437/interspeech.2024-2380)**Jaeuk Lee, Sohee Jang, Joon‐Hyuk Chang
962. **[Neural Compression Augmentation for Contrastive Audio Representation Learning ↗](https://doi.org/10.21437/interspeech.2024-1156)**Zhaoyu Wang, Haohe Liu, Harry Coppock et al.
963. **[Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson's disease speech detection ↗](https://doi.org/10.21437/interspeech.2024-1041)**Sevada Hovsepyan, Mathew Magimai.-Doss
964. **[OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction ↗](https://doi.org/10.21437/interspeech.2024-2322)**Yiru Zhang, Linyu Yao, Qun Yang
965. **[On the calibration of powerset speaker diarization models ↗](https://doi.org/10.21437/interspeech.2024-1060)**Alexis Plaquet, Hervé Bredin
966. **[On the relationship between speech production and vocabulary size in 3-5 year olds ↗](https://doi.org/10.21437/interspeech.2024-2377)**Alexis DeMaere, Nicole A. van Rootselaar, Fangfang Li et al.
967. **[Online Subloop Search via Uncertainty Quantization for Efficient Test-Time Adaptation ↗](https://doi.org/10.21437/interspeech.2024-1813)**Jaehong Lee, Sang‐Eon Lee, Dong-Hyun Kim et al.
968. **[Optical Flow Guided Tongue Trajectory Generation for Diffusion-based Acoustic to Articulatory Inversion ↗](https://doi.org/10.21437/interspeech.2024-1864)**Yu-Dong Yang, Rongfeng Su, Rukiye Ruzi et al.
969. **[Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data ↗](https://doi.org/10.21437/interspeech.2024-760)**Tin Mei Lun, Ekaterina Voskoboinik, Ragheb Al-Ghezi et al.
970. **[PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility ↗](https://doi.org/10.21437/interspeech.2024-366)**Seyun Um, Do‐Yeon Kim, Hong-Goo Kang
971. **[PFCA-Net: Pyramid Feature Fusion and Cross Content Attention Network for Automated Audio Captioning ↗](https://doi.org/10.21437/interspeech.2024-1268)**Jianyuan Sun, Wenwu Wang, Mark D. Plumbley
972. **[PLDNet: PLD-Guided Lightweight Deep Network Boosted by Efficient Attention for Handheld Dual-Microphone Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2024-801)**Nan Zhou, Youhai Jiang, Jialin Tan et al.
973. **[Parameter-Efficient Adapter Based on Pre-trained Models for Speech Translation ↗](https://doi.org/10.21437/interspeech.2024-759)**Nan Chen, Yonghe Wang, Feilong Bao
974. **[Perceptual Learning in Lexical Tone: Phonetic Similarity vs. Phonological Categories ↗](https://doi.org/10.21437/interspeech.2024-2212)**Ariëlle Reitsema, Chenxin Li, Leanne van Lambalgen et al.
975. **[Phonological Symmetry Does Not Predict Generalization of Perceptual Adaptation to Vowels ↗](https://doi.org/10.21437/interspeech.2024-2334)**Zuheyra Tokac, Jennifer Cole
976. **[Pitch-driven adjustments in tongue positions: Insights from ultrasound imaging ↗](https://doi.org/10.21437/interspeech.2024-2247)**May Pik Yu Chan, Jianjing Kuang
977. **[Positional Description for Numerical Normalization ↗](https://doi.org/10.21437/interspeech.2024-1237)**Deepanshu Gupta, Javier Latorre
978. **[Pre-training Neural Transducer-based Streaming Voice Conversion for Faster Convergence and Alignment-free Training ↗](https://doi.org/10.21437/interspeech.2024-771)**Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima
979. **[Predefined Prototypes for Intra-Class Separation and Disentanglement ↗](https://doi.org/10.21437/interspeech.2024-825)**Antonio Almudévar, Théo Mariotte, Alfonso Ortega et al.
980. **[Predicting Heart Activity from Speech using Data-driven and Knowledge-based features ↗](https://doi.org/10.21437/interspeech.2024-2150)**Gasser Elbanna, Zohreh Mostaani, Mathew Magimai.-Doss
981. **[Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units ↗](https://doi.org/10.21437/interspeech.2024-1713)**Bolaji Yusuf, Jaň Černocký, Murat Saraçlar
982. **[Production of fricative consonants in French-speaking children with cochlear implants and typical hearing: acoustic and phonological analyses. ↗](https://doi.org/10.21437/interspeech.2024-871)**Sophie Fagniart, Brigitte L. Charlier, Véronique Delvaux et al.
983. **[Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning ↗](https://doi.org/10.21437/interspeech.2024-100)**Zhenyu Wang, Shuyu Kong, Wan Li et al.
984. **[RAST: A Reference-Audio Synchronization Tool for Dubbed Content ↗](https://doi.org/10.21437/interspeech.2024-2203)**David Meyer, Eitan Abecassis, Clara Fernandez-Labrador et al.
985. **[Real-world PTSD Recognition: A Cross-corpus and Cross-linguistic Evaluation ↗](https://doi.org/10.21437/interspeech.2024-493)**Alexander Kathan, Martin Bürger, Andreas Triantafyllopoulos et al.
986. **[Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models ↗](https://doi.org/10.21437/interspeech.2024-396)**Asad Ullah, Alessandro Ragano, Andrew Hines
987. **[Rich speech signal: exploring and exploiting end-to-end automatic speech recognizers’ ability to model hesitation phenomena ↗](https://doi.org/10.21437/interspeech.2024-2029)**Vincenzo Norman Vitale, Loredana Schettino, Francesco Cutugno
988. **[SA-MF: A Novel Self-Attention Mechanism for Multifeature Fusion in Speech Enhancement Networks ↗](https://doi.org/10.21437/interspeech.2024-4)**Ruizhe Wang
989. **[SDAEC: Signal Decoupling for Advancing Acoustic Echo Cancellation ↗](https://doi.org/10.21437/interspeech.2024-763)**Fei Zhao, Jinjiang Liu, Xueliang Zhang
990. **[SEQ-former: A context-enhanced and efficient automatic speech recognition framework ↗](https://doi.org/10.21437/interspeech.2024-243)**Qinglin Meng, Min Liu, Kaixun Huang et al.
991. **[SOT Triggered Neural Clustering for Speaker Attributed ASR ↗](https://doi.org/10.21437/interspeech.2024-2211)**Xianrui Zheng, Guangzhi Sun, Chao Zhang et al.
992. **[SRC4VC: Smartphone-Recorded Corpus for Voice Conversion Benchmark ↗](https://doi.org/10.21437/interspeech.2024-388)**Yuki C. Saito, Takuto Igarashi, Kentaro Seki et al.
993. **[STraDa: A Singer Traits Dataset ↗](https://doi.org/10.21437/interspeech.2024-644)**Yuexuan Kong, Viet-Anh Tran, Romain Hennequin
994. **[SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models ↗](https://doi.org/10.21437/interspeech.2024-1540)**Yin Chun, Tai-Shih Chi, Yu Tsao et al.
995. **[SWiBE: A Parameterized Stochastic Diffusion Process for Noise-Robust Bandwidth Expansion ↗](https://doi.org/10.21437/interspeech.2024-463)**Yin-Tse Lin, Shreya G. Upadhyay, Bo-Hao Su et al.
996. **[Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance ↗](https://doi.org/10.21437/interspeech.2024-2063)**Si-Ioi Ng, Lingfeng Xu, Kimberly Diggle Mueller et al.
997. **[Self-Supervised Learning for ASR Pre-Training with Uniquely Determined Target Labels and Controlling Cepstrum Truncation for Speech Augmentation ↗](https://doi.org/10.21437/interspeech.2024-1933)**Akihiro Kato, Hiroyuki Nagano, Kohei Chike et al.
998. **[Self-Train Before You Transcribe ↗](https://doi.org/10.21437/interspeech.2024-858)**Robert Flynn, Anton Ragni
999. **[Shared-Adapters: A Novel Transformer-based Parameter Efficient Transfer Learning Approach For Children’s Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2024-1105)**Thomas Rolland, Alberto Abad
1000. **[Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech ↗](https://doi.org/10.21437/interspeech.2024-1582)**Shivam Mehta, Harm Lameris, Rajiv Punmiya et al.

[← prev](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/9/) [1](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/) … [9](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/9/) **10** [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/papers/page/11/)

- [← back to](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2024/) — Interspeech 2024