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Automatic Phoneme Recognition

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Papers

Graph Connectionist Temporal Classification for Phoneme Recognition

2025-09-05 · Henry Grafé, Hugo Van hamme arxiv

Automatic Phoneme Recognition (APR) systems are often trained using pseudo phoneme-level annotations generated from text through Grapheme-to-Phoneme (G2P) systems. These G2P systems frequently output multiple possible pr…

Automatic Phoneme Recognition

Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors

2024-07-16 · Julien Hauret, Malo Olivier, Thomas Joubaud, Christophe Langrenne 외

Vibravox is a dataset compliant with the General Data Protection Regulation (GDPR) containing audio recordings using five different body-conduction audio sensors: two in-ear microphones, two bone conduction vibration pic…

Automatic Phoneme RecognitionAutomatic Speech Recognition (ASR)Bandwidth ExtensionSpeaker Verification+3

Speech Data Augmentation for Improving Phoneme Transcriptions of Aphasic Speech Using Wav2Vec 2.0 for the PSST Challenge

2022-06-01 · RaPID (LREC) 2022 6 · Birger Moell, Jim O’Regan, Shivam Mehta, Ambika Kirkland 외

As part of the PSST challenge, we explore how data augmentations, data sources, and model size affect phoneme transcription accuracy on speech produced by individuals with aphasia. We evaluate model performance in terms …

Automatic Phoneme RecognitionData AugmentationPhoneme RecognitionRoom Impulse Response (RIR)

Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling

2021-01-16 · Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro 외

A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker. This approach mak…

Automatic Phoneme RecognitionPhoneme RecognitionSentencevalid

A Comprehensive Survey on Bengali Phoneme Recognition

2017-01-27 · Sadia Tasnim Swarna, Shamim Ehsan, Md. Saiful Islam, Marium E Jannat

Hidden Markov model based various phoneme recognition methods for Bengali language is reviewed. Automatic phoneme recognition for Bengali language using multilayer neural network is reviewed. Usefulness of multilayer neu…

Automatic Phoneme RecognitionPhoneme Recognitionspeech-recognitionSpeech Recognition+1

Study of Phonemes Confusions in Hierarchical Automatic Phoneme Recognition System

2015-08-07 · Rimah Amami, Noureddine Ellouze

In this paper, we have analyzed the impact of confusions on the robustness of phoneme recognitions system. The confusions are detected at the pronunciation and the confusions matrices of the phoneme recognizer. The confu…

Automatic Phoneme RecognitionPhoneme Recognition