--- _id: '20504' abstract: - lang: eng text: 'In recent years time domain speech separation has excelled over frequency domain separation in single channel scenarios and noise-free environments. In this paper we dissect the gains of the time-domain audio separation network (TasNet) approach by gradually replacing components of an utterance-level permutation invariant training (u-PIT) based separation system in the frequency domain until the TasNet system is reached, thus blending components of frequency domain approaches with those of time domain approaches. Some of the intermediate variants achieve comparable signal-to-distortion ratio (SDR) gains to TasNet, but retain the advantage of frequency domain processing: compatibility with classic signal processing tools such as frequency-domain beamforming and the human interpretability of the masks. Furthermore, we show that the scale invariant signal-to-distortion ratio (si-SDR) criterion used as loss function in TasNet is related to a logarithmic mean square error criterion and that it is this criterion which contributes most reliable to the performance advantage of TasNet. Finally, we critically assess which gains in a noise-free single channel environment generalize to more realistic reverberant conditions.' author: - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Darius full_name: Jakobeit, Darius last_name: Jakobeit - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Lukas full_name: Drude, Lukas last_name: Drude - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Heitkaemper J, Jakobeit D, Boeddeker C, Drude L, Haeb-Umbach R. Demystifying TasNet: A Dissecting Approach. In: ICASSP 2020 Virtual Barcelona Spain. ; 2020.' apa: 'Heitkaemper, J., Jakobeit, D., Boeddeker, C., Drude, L., & Haeb-Umbach, R. (2020). Demystifying TasNet: A Dissecting Approach. ICASSP 2020 Virtual Barcelona Spain.' bibtex: '@inproceedings{Heitkaemper_Jakobeit_Boeddeker_Drude_Haeb-Umbach_2020, title={Demystifying TasNet: A Dissecting Approach}, booktitle={ICASSP 2020 Virtual Barcelona Spain}, author={Heitkaemper, Jens and Jakobeit, Darius and Boeddeker, Christoph and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2020} }' chicago: 'Heitkaemper, Jens, Darius Jakobeit, Christoph Boeddeker, Lukas Drude, and Reinhold Haeb-Umbach. “Demystifying TasNet: A Dissecting Approach.” In ICASSP 2020 Virtual Barcelona Spain, 2020.' ieee: 'J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, and R. Haeb-Umbach, “Demystifying TasNet: A Dissecting Approach,” 2020.' mla: 'Heitkaemper, Jens, et al. “Demystifying TasNet: A Dissecting Approach.” ICASSP 2020 Virtual Barcelona Spain, 2020.' short: 'J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, R. Haeb-Umbach, in: ICASSP 2020 Virtual Barcelona Spain, 2020.' date_created: 2020-11-25T14:56:53Z date_updated: 2022-01-13T08:47:32Z ddc: - '000' department: - _id: '54' file: - access_level: closed content_type: application/pdf creator: jensheit date_created: 2020-12-11T12:36:37Z date_updated: 2020-12-11T12:36:37Z file_id: '20699' file_name: ms.pdf file_size: 3871374 relation: main_file success: 1 file_date_updated: 2020-12-11T12:36:37Z has_accepted_license: '1' keyword: - voice activity detection - speech activity detection - neural network - statistical speech processing language: - iso: eng project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: ICASSP 2020 Virtual Barcelona Spain quality_controlled: '1' status: public title: 'Demystifying TasNet: A Dissecting Approach' type: conference user_id: '40767' year: '2020' ... --- _id: '20505' abstract: - lang: eng text: "Speech activity detection (SAD), which often rests on the fact that the noise is \"more'' stationary than speech, is particularly challenging in non-stationary environments, because the time variance of the acoustic scene makes it difficult to discriminate speech from noise. We propose two approaches to SAD, where one is based on statistical signal processing, while the other utilizes neural networks. The former employs sophisticated signal processing to track the noise and speech energies and is meant to support the case for a resource efficient, unsupervised signal processing approach.\r\nThe latter introduces a recurrent network layer that operates on short segments of the input speech to do temporal smoothing in the presence of non-stationary noise. The systems are tested on the Fearless Steps challenge database, which consists of the transmission data from the Apollo-11 space mission.\r\nThe statistical SAD achieves comparable detection performance to earlier proposed neural network based SADs, while the neural network based approach leads to a decision cost function of 1.07% on the evaluation set of the 2020 Fearless Steps Challenge, which sets a new state of the art." author: - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH 2020 Virtual Shanghai China. ; 2020.' apa: Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2020). Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020 Virtual Shanghai China. bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Haeb-Umbach_2020, title={Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments}, booktitle={INTERSPEECH 2020 Virtual Shanghai China}, author={Heitkaemper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2020} }' chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” In INTERSPEECH 2020 Virtual Shanghai China, 2020. ieee: J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments,” 2020. mla: Heitkaemper, Jens, et al. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” INTERSPEECH 2020 Virtual Shanghai China, 2020. short: 'J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020 Virtual Shanghai China, 2020.' date_created: 2020-11-25T15:03:19Z date_updated: 2023-10-26T08:28:49Z ddc: - '000' department: - _id: '54' file: - access_level: closed content_type: application/pdf creator: jensheit date_created: 2020-12-11T12:33:04Z date_updated: 2020-12-11T12:33:04Z file_id: '20697' file_name: ms.pdf file_size: 998706 relation: main_file success: 1 file_date_updated: 2020-12-11T12:33:04Z has_accepted_license: '1' keyword: - voice activity detection - speech activity detection - neural network - statistical speech processing language: - iso: eng project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: INTERSPEECH 2020 Virtual Shanghai China status: public title: Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments type: conference user_id: '460' year: '2020' ... --- _id: '32158' abstract: - lang: eng text: 'Sociogenesis addresses a pervasive problem in psychology given by Cartesian dualism that assigns the mental an inner locus apart from material activity. Aligning ourselves to the ongoing critical discussions of interiorization in psychology, we explore the crucial notion of space by highlighting language as sociocultural and dialogical activity performed by other-oriented individuals. We discuss space in terms of the “language spacetime”, a symbolic, embodied formation of mutually positioned speaking and listening selves. This leads beyond the “inside-outside” container metaphor and allows for a reformulation of interiorization. Interiorization is conceptualized as a continuous series of different, though mutually related movements between self and other and self and self that lead to and are supported by specific formations in language activity: reversion, transposition, and decoupling. Along a short passage of a video-based interview, we trace the reversion of dialogical positions within the addressivity constellation of the two interlocutors, their interactive creation of a heterotopic spacetime, and the decoupling of one speaker''s psychological activity from the concrete here-and-now and the present other by moving and acting into this new sphere. Interiorization appears as a movement at the border of past, present, and possible future(s).' author: - first_name: Marie-Cécile full_name: Bertau, Marie-Cécile last_name: Bertau - first_name: Andrea full_name: Karsten, Andrea id: '53917' last_name: Karsten citation: ama: 'Bertau M-C, Karsten A. Reconsidering interiorization: Self moving across language spacetimes. New Ideas in Psychology. 2018;49:7-17. doi:10.1016/j.newideapsych.2017.12.001' apa: 'Bertau, M.-C., & Karsten, A. (2018). Reconsidering interiorization: Self moving across language spacetimes. New Ideas in Psychology, 49, 7–17. https://doi.org/10.1016/j.newideapsych.2017.12.001' bibtex: '@article{Bertau_Karsten_2018, title={Reconsidering interiorization: Self moving across language spacetimes}, volume={49}, DOI={10.1016/j.newideapsych.2017.12.001}, journal={New Ideas in Psychology}, publisher={Elsevier BV}, author={Bertau, Marie-Cécile and Karsten, Andrea}, year={2018}, pages={7–17} }' chicago: 'Bertau, Marie-Cécile, and Andrea Karsten. “Reconsidering Interiorization: Self Moving across Language Spacetimes.” New Ideas in Psychology 49 (2018): 7–17. https://doi.org/10.1016/j.newideapsych.2017.12.001.' ieee: 'M.-C. Bertau and A. Karsten, “Reconsidering interiorization: Self moving across language spacetimes,” New Ideas in Psychology, vol. 49, pp. 7–17, 2018, doi: 10.1016/j.newideapsych.2017.12.001.' mla: 'Bertau, Marie-Cécile, and Andrea Karsten. “Reconsidering Interiorization: Self Moving across Language Spacetimes.” New Ideas in Psychology, vol. 49, Elsevier BV, 2018, pp. 7–17, doi:10.1016/j.newideapsych.2017.12.001.' short: M.-C. Bertau, A. Karsten, New Ideas in Psychology 49 (2018) 7–17. date_created: 2022-06-24T14:41:20Z date_updated: 2022-07-18T09:21:16Z department: - _id: '424' doi: 10.1016/j.newideapsych.2017.12.001 intvolume: ' 49' keyword: - Interiorization - Dialogical self - Language activity - Voice - Vygotsky - Heterotopia - Video-confrontation language: - iso: eng page: 7-17 publication: New Ideas in Psychology publication_identifier: issn: - 0732-118X publication_status: published publisher: Elsevier BV status: public title: 'Reconsidering interiorization: Self moving across language spacetimes' type: journal_article user_id: '42165' volume: 49 year: '2018' ... --- _id: '35769' abstract: - lang: eng text: 'According to the UN Conventions on the Rights of the Child all children have a right to participation. This UN Convention has influenced professionals and policy-makers worldwide. Thereby participation in kindergarten refers to children’s possibilities to exercise influence on a range of topics from the rules that are applied in the nursery’s course of a day, the daily program, the interior design of the facility, etc. Which possibilities for participation children actually have in their everyday lives and how they perceive these possibilities has not been sufficiently answered in the international discourse. Based on a standardized survey with 4 and 5 year old children on their experiences with various aspects of participation in pre-school institutions the paper contributes to international childhood and participation research. The empirical findings are related to the democracy-theoretical inspired figures of early childhood institutions as “nurseries of democracy” and broader reflections on social inequalities in early childhood. ' article_type: original author: - first_name: Alexandra full_name: Klein, Alexandra last_name: Klein - first_name: Sandra full_name: Landhäußer, Sandra id: '93863' last_name: Landhäußer citation: ama: Klein A, Landhäußer S. Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions . Social Work and Society International Online Journal. 2017;Vol 15(No 2). doi:https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527 apa: Klein, A., & Landhäußer, S. (2017). Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions . Social Work and Society International Online Journal, Vol 15(No 2). https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527 bibtex: '@article{Klein_Landhäußer_2017, title={Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions }, volume={Vol 15}, DOI={https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527}, number={No 2}, journal={Social Work and Society International Online Journal}, author={Klein, Alexandra and Landhäußer, Sandra}, year={2017} }' chicago: Klein, Alexandra, and Sandra Landhäußer. “Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions .” Social Work and Society International Online Journal Vol 15, no. No 2 (2017). https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527. ieee: 'A. Klein and S. Landhäußer, “Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions ,” Social Work and Society International Online Journal, vol. Vol 15, no. No 2, 2017, doi: https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527.' mla: Klein, Alexandra, and Sandra Landhäußer. “Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions .” Social Work and Society International Online Journal, vol. Vol 15, no. No 2, 2017, doi:https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527. short: A. Klein, S. Landhäußer, Social Work and Society International Online Journal Vol 15 (2017). date_created: 2023-01-10T10:40:09Z date_updated: 2023-01-27T09:51:04Z department: - _id: '723' - _id: '36' doi: https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/527 extern: '1' issue: No 2 keyword: - participation - kindergarten - child’s perspectives - voice - inclusion language: - iso: eng publication: Social Work and Society International Online Journal publication_status: published status: public title: 'Children’s Voice in “Nurseries of Democracy“. Participation in Early Childhood Institutions ' type: journal_article user_id: '48187' volume: Vol 15 year: '2017' ... --- _id: '11820' abstract: - lang: eng text: In this paper, we derive an uncertainty decoding rule for automatic speech recognition (ASR), which accounts for both corrupted observations and inter-frame correlation. The conditional independence assumption, prevalent in hidden Markov model-based ASR, is relaxed to obtain a clean speech posterior that is conditioned on the complete observed feature vector sequence. This is a more informative posterior than one conditioned only on the current observation. The novel decoding is used to obtain a transmission-error robust remote ASR system, where the speech capturing unit is connected to the decoder via an error-prone communication network. We show how the clean speech posterior can be computed for communication links being characterized by either bit errors or packet loss. Recognition results are presented for both distributed and network speech recognition, where in the latter case common voice-over-IP codecs are employed. author: - first_name: Valentin full_name: Ion, Valentin last_name: Ion - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Ion V, Haeb-Umbach R. A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2008;16(5):1047-1060. doi:10.1109/TASL.2008.925879 apa: Ion, V., & Haeb-Umbach, R. (2008). A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 16(5), 1047–1060. https://doi.org/10.1109/TASL.2008.925879 bibtex: '@article{Ion_Haeb-Umbach_2008, title={A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition}, volume={16}, DOI={10.1109/TASL.2008.925879}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Ion, Valentin and Haeb-Umbach, Reinhold}, year={2008}, pages={1047–1060} }' chicago: 'Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition.” IEEE Transactions on Audio, Speech, and Language Processing 16, no. 5 (2008): 1047–60. https://doi.org/10.1109/TASL.2008.925879.' ieee: V. Ion and R. Haeb-Umbach, “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 16, no. 5, pp. 1047–1060, 2008. mla: Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 16, no. 5, 2008, pp. 1047–60, doi:10.1109/TASL.2008.925879. short: V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060. date_created: 2019-07-12T05:28:53Z date_updated: 2022-01-06T06:51:10Z department: - _id: '54' doi: 10.1109/TASL.2008.925879 intvolume: ' 16' issue: '5' keyword: - automatic speech recognition - bit errors - codecs - communication links - corrupted observations - decoding - distributed speech recognition - error-prone communication network - feature vector sequence - hidden Markov model-based ASR - hidden Markov models - inter-frame correlation - Internet telephony - network speech recognition - packet loss - speech posterior - speech recognition - transmission error robust speech recognition - uncertainty decoding - voice-over-IP codecs language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2008/IoHa08-1.pdf oa: '1' page: 1047-1060 publication: IEEE Transactions on Audio, Speech, and Language Processing status: public title: A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition type: journal_article user_id: '44006' volume: 16 year: '2008' ... --- _id: '11824' abstract: - lang: eng text: Soft-feature based speech recognition, which is an example of uncertainty decoding, has been proven to be a robust error mitigation method for distributed speech recognition over wireless channels exhibiting bit errors. In this paper we extend this concept to packet-oriented transmissions. The a posteriori probability density function of the lost feature vector, given the closest received neighbours, is computed. In the experiments, the nearest frame repetition, which is shown to be equivalent to the MAP estimate, outperforms the MMSE estimate for long bursts. Taking the variance into account at the speech recognition stage results in superior performance compared to classical schemes using point estimates. A computationally and memory efficient implementation of the proposed packet loss compensation scheme based on table lookup is presented author: - first_name: Valentin full_name: Ion, Valentin last_name: Ion - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Ion V, Haeb-Umbach R. An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006). Vol 1. ; 2006:I. doi:10.1109/ICASSP.2006.1659984' apa: Ion, V., & Haeb-Umbach, R. (2006). An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) (Vol. 1, p. I). https://doi.org/10.1109/ICASSP.2006.1659984 bibtex: '@inproceedings{Ion_Haeb-Umbach_2006, title={An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features}, volume={1}, DOI={10.1109/ICASSP.2006.1659984}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)}, author={Ion, Valentin and Haeb-Umbach, Reinhold}, year={2006}, pages={I} }' chicago: Ion, Valentin, and Reinhold Haeb-Umbach. “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 1:I, 2006. https://doi.org/10.1109/ICASSP.2006.1659984. ieee: V. Ion and R. Haeb-Umbach, “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, vol. 1, p. I. mla: Ion, Valentin, and Reinhold Haeb-Umbach. “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), vol. 1, 2006, p. I, doi:10.1109/ICASSP.2006.1659984. short: 'V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.' date_created: 2019-07-12T05:28:58Z date_updated: 2022-01-06T06:51:10Z department: - _id: '54' doi: 10.1109/ICASSP.2006.1659984 intvolume: ' 1' keyword: - distributed speech recognition - least mean squares methods - MAP estimate - maximum likelihood estimation - MMSE estimate - packet loss compensation scheme - packet switched communication - posteriori probability density function - robust error mitigation method - soft-features - speech recognition - table lookup - voice communication - wireless channels language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2006/IoHa06-2.pdf oa: '1' page: I publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) status: public title: An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features type: conference user_id: '44006' volume: 1 year: '2006' ...