Aim & Scope
The IEEE/ACM Transactions on Audio, Speech, and Language Processing covers audio, speech and language processing and the sciences that support them. It includes practical areas of the design, development, and evaluation of speech- and text-processing systems along with their associated theory. It publishes application-oriented research, survey papers, and descriptions of novel applications. Audio processing topics include: transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. Speech processing topics include: speech analysis, synthesis, coding, speech and speaker recognition, speech production and perception, and speech enhancement. Language processing topics include: speech and text analysis, understanding, generation, dialog management, translation, summarization, question answering and document indexing and retrieval, as well as general language modeling. Machine learning and pattern analysis applied to any of the above areas is also welcome. [1]
Continuations / Journal History
| ( 2006 - 2013 ) | IEEE Transactions on Audio, Speech and Language Processing | ( 2014 - 9999 ) | IEEE / ACM Transactions on Audio, Speech, and Language Processing |
Series / Collection
2691-1922 ( Print )
2577-3224 ( Online )
Association for Computing Machinery (ACM)
,
Institute of Mathematical Statistics (IMS)
1936-7228 ( Print )
1936-7236 ( Online )
Association for Computing Machinery (ACM)
1549-6325 ( Print )
1549-6333 ( Online )
Association for Computing Machinery (ACM)
1544-3558 ( Print )
1544-3965 ( Online )
Association for Computing Machinery (ACM)
1544-3566 ( Print )
1544-3973 ( Online )
Association for Computing Machinery (ACM)
2375-4699 ( Print )
2375-4702 ( Online )
Association for Computing Machinery (ACM)
1530-0226 ( Print )
1558-3430 ( Online )
Association for Computing Machinery (ACM)
1556-4665 ( Print )
1556-4703 ( Online )
Association for Computing Machinery (ACM)
1942-3454 ( Print )
1942-3462 ( Online )
Association for Computing Machinery (ACM)
1529-3785 ( Print )
1557-945X ( Online )
Association for Computing Machinery (ACM)
2024
A Parallel Analog and Digital Adaptive Feedforward Controller for Active Noise Control
No authors listed.
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-9.
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.
Data-centric Methods for Environmental Sound Classification with Limited Labels
A Syed , E Berk C¸ oban , D Pir , M Mandel
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.
Effect of Modeling Glottal Activity Parameters on Zero-Shot Children's ASR
, , S Shahnawazuddin
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.
Interactive Singing Melody Extraction Based on Active Adaptation
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.
Harmonic Detection from Noisy Speech with Auditory Frame Gain for Intelligibility Enhancement
IEEE / ACM Transactions on Audio, Speech, and Language Processing , 2024 , pp 1-10.