Github Action Automatic Update ASR Arxiv Papers

README.md

@@ -15,13 +15,18 @@
 
 |Publish Date|Title|Authors|PDF|Code|
 |---|---|---|---|---|
+|**2025-01-21**|**DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset**|Yupei Li et.al.|[2501.12122](http://arxiv.org/abs/2501.12122)|null|
+|**2025-01-20**|**Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio**|Mateusz Barański et.al.|[2501.11378](http://arxiv.org/abs/2501.11378)|null|
+|**2025-01-19**|**Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets**|Or Haim Anidjar et.al.|[2501.11065](http://arxiv.org/abs/2501.11065)|null|
+|**2025-01-18**|**A Benchmark of French ASR Systems Based on Error Severity**|Antoine Tholly et.al.|[2501.10879](http://arxiv.org/abs/2501.10879)|null|
+|**2025-01-18**|**GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems**|Amin Robatian et.al.|[2501.10734](http://arxiv.org/abs/2501.10734)|null|
 |**2025-01-17**|**Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR**|Karl El Hajal et.al.|[2501.10256](http://arxiv.org/abs/2501.10256)|null|
 |**2025-01-17**|**Automatic Speech Recognition for Sanskrit with Transfer Learning**|Bidit Sadhukhan et.al.|[2501.10024](http://arxiv.org/abs/2501.10024)|null|
-|**2025-01-16**|**PIER: A Novel Metric for Evaluating What Matters in Code-Switching**|Enes Yavuz Ugan et.al.|[2501.09512](http://arxiv.org/abs/2501.09512)|null|
+|**2025-01-21**|**PIER: A Novel Metric for Evaluating What Matters in Code-Switching**|Enes Yavuz Ugan et.al.|[2501.09512](http://arxiv.org/abs/2501.09512)|null|
 |**2025-01-16**|**Teaching Wav2Vec2 the Language of the Brain**|Tobias Fiedler et.al.|[2501.09459](http://arxiv.org/abs/2501.09459)|**[link](https://github.com/tfiedlerdev/wav2vec2forbrain)**|
 |**2025-01-16**|**Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition**|Takaaki Hori et.al.|[2501.09258](http://arxiv.org/abs/2501.09258)|null|
 |**2025-01-17**|**persoDA: Personalized Data Augmentation for Personalized ASR**|Pablo Peso Parada et.al.|[2501.09113](http://arxiv.org/abs/2501.09113)|null|
-|**2025-01-15**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
+|**2025-01-20**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
 |**2025-01-13**|**Discrimination loss vs. SRT: A model-based approach towards harmonizing speech test interpretations**|Mareike Buhl et.al.|[2501.08921](http://arxiv.org/abs/2501.08921)|null|
 |**2025-01-15**|**Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom**|Melissa Torgbi et.al.|[2501.08502](http://arxiv.org/abs/2501.08502)|null|
 |**2025-01-14**|**Selective Attention Merging for low resource tasks: A case study of Child ASR**|Natarajan Balaji Shankar et.al.|[2501.08468](http://arxiv.org/abs/2501.08468)|**[link](https://github.com/balaji1312/sa_merging)**|
@@ -36,7 +41,7 @@
 |**2025-01-10**|**Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI**|Yuya Asano et.al.|[2501.06129](http://arxiv.org/abs/2501.06129)|null|
 |**2025-01-10**|**Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding**|Fabian David Schmidt et.al.|[2501.06117](http://arxiv.org/abs/2501.06117)|**[link](https://github.com/fdschmidt93/fleurs-slu)**|
 |**2025-01-10**|**Benchmarking Rotary Position Embeddings for Automatic Speech Recognition**|Shucong Zhang et.al.|[2501.06051](http://arxiv.org/abs/2501.06051)|null|
-|**2025-01-10**|**Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing**|Eklavya Sarkar et.al.|[2501.05987](http://arxiv.org/abs/2501.05987)|null|
+|**2025-01-19**|**Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing**|Eklavya Sarkar et.al.|[2501.05987](http://arxiv.org/abs/2501.05987)|null|
 |**2025-01-10**|**Universal-2-TF: Robust All-Neural Text Formatting for ASR**|Yash Khare et.al.|[2501.05948](http://arxiv.org/abs/2501.05948)|null|
 |**2025-01-09**|**Right Label Context in End-to-End Training of Time-Synchronous ASR Models**|Tina Raissi et.al.|[2501.04521](http://arxiv.org/abs/2501.04521)|null|
 |**2025-01-08**|**Phone-purity Guided Discrete Tokens for Dysarthric Speech Recognition**|Huimeng Wang et.al.|[2501.04379](http://arxiv.org/abs/2501.04379)|null|
@@ -73,7 +78,7 @@
 |**2025-01-03**|**Speech Retrieval-Augmented Generation without Automatic Speech Recognition**|Do June Min et.al.|[2412.16500](http://arxiv.org/abs/2412.16500)|null|
 |**2024-12-21**|**Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling**|Shao-Syuan Huang et.al.|[2412.16474](http://arxiv.org/abs/2412.16474)|null|
 |**2024-12-21**|**Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition**|Keqi Deng et.al.|[2412.16464](http://arxiv.org/abs/2412.16464)|null|
-|**2024-12-20**|**MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula**|Sieun Hyeon et.al.|[2412.15655](http://arxiv.org/abs/2412.15655)|**[link](https://github.com/hyeonsieun/mathspeech)**|
+|**2025-01-19**|**MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula**|Sieun Hyeon et.al.|[2412.15655](http://arxiv.org/abs/2412.15655)|**[link](https://github.com/hyeonsieun/mathspeech)**|
 |**2024-12-20**|**TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch**|Xingchen Song et.al.|[2412.15622](http://arxiv.org/abs/2412.15622)|null|
 |**2024-12-19**|**Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition**|Niko Moritz et.al.|[2412.15415](http://arxiv.org/abs/2412.15415)|null|
 |**2024-12-23**|**LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration**|Sangmin Lee et.al.|[2412.15299](http://arxiv.org/abs/2412.15299)|null|
@@ -905,12 +910,12 @@
 
 |Publish Date|Title|Authors|PDF|Code|
 |---|---|---|---|---|
-|**2025-01-15**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
+|**2025-01-20**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
 |**2025-01-15**|**Speech Synthesis along Perceptual Voice Quality Dimensions**|Frederik Rautenberg et.al.|[2501.08791](http://arxiv.org/abs/2501.08791)|null|
 |**2025-01-15**|**Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification**|Li Zhang et.al.|[2501.08691](http://arxiv.org/abs/2501.08691)|null|
 |**2025-01-15**|**Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement**|Qianniu Chen et.al.|[2501.08566](http://arxiv.org/abs/2501.08566)|null|
 |**2025-01-13**|**Exploring the encoding of linguistic representations in the Fully-Connected Layer of generative CNNs for Speech**|Bruno Ferenc Šegedin et.al.|[2501.07726](http://arxiv.org/abs/2501.07726)|null|
-|**2025-01-13**|**MathReader : Text-to-Speech for Mathematical Documents**|Sieun Hyeon et.al.|[2501.07088](http://arxiv.org/abs/2501.07088)|**[link](https://github.com/hyeonsieun/mathreader)**|
+|**2025-01-19**|**MathReader : Text-to-Speech for Mathematical Documents**|Sieun Hyeon et.al.|[2501.07088](http://arxiv.org/abs/2501.07088)|**[link](https://github.com/hyeonsieun/mathreader)**|
 |**2025-01-11**|**Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis**|Rui Liu et.al.|[2501.06467](http://arxiv.org/abs/2501.06467)|null|
 |**2025-01-10**|**TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer**|Vladimir Bataev et.al.|[2501.06320](http://arxiv.org/abs/2501.06320)|null|
 |**2025-01-10**|**MinMo: A Multimodal Large Language Model for Seamless Voice Interaction**|Qian Chen et.al.|[2501.06282](http://arxiv.org/abs/2501.06282)|null|

docs/index.md

@@ -11,13 +11,18 @@ layout: default
 
 | Publish Date | Title | Authors | PDF | Code |
 |:---------|:-----------------------|:---------|:------|:------|
+|**2025-01-21**|**DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset**|Yupei Li et.al.|[2501.12122](http://arxiv.org/abs/2501.12122)|null|
+|**2025-01-20**|**Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio**|Mateusz Barański et.al.|[2501.11378](http://arxiv.org/abs/2501.11378)|null|
+|**2025-01-19**|**Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets**|Or Haim Anidjar et.al.|[2501.11065](http://arxiv.org/abs/2501.11065)|null|
+|**2025-01-18**|**A Benchmark of French ASR Systems Based on Error Severity**|Antoine Tholly et.al.|[2501.10879](http://arxiv.org/abs/2501.10879)|null|
+|**2025-01-18**|**GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems**|Amin Robatian et.al.|[2501.10734](http://arxiv.org/abs/2501.10734)|null|
 |**2025-01-17**|**Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR**|Karl El Hajal et.al.|[2501.10256](http://arxiv.org/abs/2501.10256)|null|
 |**2025-01-17**|**Automatic Speech Recognition for Sanskrit with Transfer Learning**|Bidit Sadhukhan et.al.|[2501.10024](http://arxiv.org/abs/2501.10024)|null|
-|**2025-01-16**|**PIER: A Novel Metric for Evaluating What Matters in Code-Switching**|Enes Yavuz Ugan et.al.|[2501.09512](http://arxiv.org/abs/2501.09512)|null|
+|**2025-01-21**|**PIER: A Novel Metric for Evaluating What Matters in Code-Switching**|Enes Yavuz Ugan et.al.|[2501.09512](http://arxiv.org/abs/2501.09512)|null|
 |**2025-01-16**|**Teaching Wav2Vec2 the Language of the Brain**|Tobias Fiedler et.al.|[2501.09459](http://arxiv.org/abs/2501.09459)|**[link](https://github.com/tfiedlerdev/wav2vec2forbrain)**|
 |**2025-01-16**|**Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition**|Takaaki Hori et.al.|[2501.09258](http://arxiv.org/abs/2501.09258)|null|
 |**2025-01-17**|**persoDA: Personalized Data Augmentation for Personalized ASR**|Pablo Peso Parada et.al.|[2501.09113](http://arxiv.org/abs/2501.09113)|null|
-|**2025-01-15**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
+|**2025-01-20**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
 |**2025-01-13**|**Discrimination loss vs. SRT: A model-based approach towards harmonizing speech test interpretations**|Mareike Buhl et.al.|[2501.08921](http://arxiv.org/abs/2501.08921)|null|
 |**2025-01-15**|**Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom**|Melissa Torgbi et.al.|[2501.08502](http://arxiv.org/abs/2501.08502)|null|
 |**2025-01-14**|**Selective Attention Merging for low resource tasks: A case study of Child ASR**|Natarajan Balaji Shankar et.al.|[2501.08468](http://arxiv.org/abs/2501.08468)|**[link](https://github.com/balaji1312/sa_merging)**|
@@ -32,7 +37,7 @@ layout: default
 |**2025-01-10**|**Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI**|Yuya Asano et.al.|[2501.06129](http://arxiv.org/abs/2501.06129)|null|
 |**2025-01-10**|**Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding**|Fabian David Schmidt et.al.|[2501.06117](http://arxiv.org/abs/2501.06117)|**[link](https://github.com/fdschmidt93/fleurs-slu)**|
 |**2025-01-10**|**Benchmarking Rotary Position Embeddings for Automatic Speech Recognition**|Shucong Zhang et.al.|[2501.06051](http://arxiv.org/abs/2501.06051)|null|
-|**2025-01-10**|**Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing**|Eklavya Sarkar et.al.|[2501.05987](http://arxiv.org/abs/2501.05987)|null|
+|**2025-01-19**|**Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing**|Eklavya Sarkar et.al.|[2501.05987](http://arxiv.org/abs/2501.05987)|null|
 |**2025-01-10**|**Universal-2-TF: Robust All-Neural Text Formatting for ASR**|Yash Khare et.al.|[2501.05948](http://arxiv.org/abs/2501.05948)|null|
 |**2025-01-09**|**Right Label Context in End-to-End Training of Time-Synchronous ASR Models**|Tina Raissi et.al.|[2501.04521](http://arxiv.org/abs/2501.04521)|null|
 |**2025-01-08**|**Phone-purity Guided Discrete Tokens for Dysarthric Speech Recognition**|Huimeng Wang et.al.|[2501.04379](http://arxiv.org/abs/2501.04379)|null|
@@ -69,7 +74,7 @@ layout: default
 |**2025-01-03**|**Speech Retrieval-Augmented Generation without Automatic Speech Recognition**|Do June Min et.al.|[2412.16500](http://arxiv.org/abs/2412.16500)|null|
 |**2024-12-21**|**Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling**|Shao-Syuan Huang et.al.|[2412.16474](http://arxiv.org/abs/2412.16474)|null|
 |**2024-12-21**|**Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition**|Keqi Deng et.al.|[2412.16464](http://arxiv.org/abs/2412.16464)|null|
-|**2024-12-20**|**MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula**|Sieun Hyeon et.al.|[2412.15655](http://arxiv.org/abs/2412.15655)|**[link](https://github.com/hyeonsieun/mathspeech)**|
+|**2025-01-19**|**MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula**|Sieun Hyeon et.al.|[2412.15655](http://arxiv.org/abs/2412.15655)|**[link](https://github.com/hyeonsieun/mathspeech)**|
 |**2024-12-20**|**TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch**|Xingchen Song et.al.|[2412.15622](http://arxiv.org/abs/2412.15622)|null|
 |**2024-12-19**|**Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition**|Niko Moritz et.al.|[2412.15415](http://arxiv.org/abs/2412.15415)|null|
 |**2024-12-23**|**LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration**|Sangmin Lee et.al.|[2412.15299](http://arxiv.org/abs/2412.15299)|null|
@@ -899,12 +904,12 @@ layout: default
 
 | Publish Date | Title | Authors | PDF | Code |
 |:---------|:-----------------------|:---------|:------|:------|
-|**2025-01-15**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
+|**2025-01-20**|**A Non-autoregressive Model for Joint STT and TTS**|Vishal Sunder et.al.|[2501.09104](http://arxiv.org/abs/2501.09104)|null|
 |**2025-01-15**|**Speech Synthesis along Perceptual Voice Quality Dimensions**|Frederik Rautenberg et.al.|[2501.08791](http://arxiv.org/abs/2501.08791)|null|
 |**2025-01-15**|**Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification**|Li Zhang et.al.|[2501.08691](http://arxiv.org/abs/2501.08691)|null|
 |**2025-01-15**|**Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement**|Qianniu Chen et.al.|[2501.08566](http://arxiv.org/abs/2501.08566)|null|
 |**2025-01-13**|**Exploring the encoding of linguistic representations in the Fully-Connected Layer of generative CNNs for Speech**|Bruno Ferenc Šegedin et.al.|[2501.07726](http://arxiv.org/abs/2501.07726)|null|
-|**2025-01-13**|**MathReader : Text-to-Speech for Mathematical Documents**|Sieun Hyeon et.al.|[2501.07088](http://arxiv.org/abs/2501.07088)|**[link](https://github.com/hyeonsieun/mathreader)**|
+|**2025-01-19**|**MathReader : Text-to-Speech for Mathematical Documents**|Sieun Hyeon et.al.|[2501.07088](http://arxiv.org/abs/2501.07088)|**[link](https://github.com/hyeonsieun/mathreader)**|
 |**2025-01-11**|**Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis**|Rui Liu et.al.|[2501.06467](http://arxiv.org/abs/2501.06467)|null|
 |**2025-01-10**|**TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer**|Vladimir Bataev et.al.|[2501.06320](http://arxiv.org/abs/2501.06320)|null|
 |**2025-01-10**|**MinMo: A Multimodal Large Language Model for Seamless Voice Interaction**|Qian Chen et.al.|[2501.06282](http://arxiv.org/abs/2501.06282)|null|