L. Carroll, Alice's adventures in Wonderland, 1866.

M. ?avar, D. Cavar, and &. Cruz, Endangered language documentation: bootstrapping a Chatino speech corpus, forced aligner, ASR, Proceedings of LREC 2016, Tenth International Conference on Language Resources and Evaluation, 2016.

E. Cruz, Phonology, tone and the functions of tone in San, 2011.

E. Cruz and . Woodbury, Finding a way into a family of tone languages: The story and methods of the Chatino Language Documentation Project. Language Documentation and Conservation 8, pp.490-524, 2014.

L. &. Dilley and . Shattuck-hufnagel, Glottalization of word-initial vowels as a function of prosodic structure, Journal of Phonetics, vol.24, pp.423-444, 1996.

T. N. Do, A. Diep, . Michaud-&-eric, and . Castelli, Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a "light" acoustic model of the target language and testing "heavyweight" models from five national languages, Proceedings of the 4th International Workshop on Spoken Language Technologies for Under-resourced Languages, pp.153-160, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-00980431

M. Durand, Etude sur les phonèmes postérieurs dans une articulation parisienne (Petite Collection de l'intitut de Phonétique et Du Musée de La Parole et Du Geste), 1930.

D. Esch, B. Van, and . Foley-&-nay-san, Future directions in technological support for language documentation, Proceedings of the Workshop on Computational Methods for Endangered Languages, vol.1, p.3, 2019.

B. Foley, J. Arnold, R. Coto-solano, &. T. Gautier-durantin, and . Ellison, Building speech recognition systems for language documentation: the CoEDL Endangered Language Pipeline and Inference System (ELPIS), Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU), pp.200-204, 2018.

B. Foley, A. Rakhi, N. Lambourne, N. Buckeridge, and J. Wiles, Elpis, an accessible speech-to-text tool, Proceedings of Interspeech 2019, pp.306-310, 2019.

C. Fougeron, Prosodically conditioned articulatory variations: a review. UCLA Working Papers in Phonetics 97, pp.1-68, 1999.

C. Fougeron, Articulatory properties of initial segments in several prosodic constituents in French, Journal of Phonetics, vol.29, issue.2, pp.109-135, 2001.
URL : https://hal.archives-ouvertes.fr/halshs-00184988

C. Gendrot, EGG and spectral slope investigation on final focalized positions in French, 15th International Congress of Phonetic Sciences, 2003.

. Michaud and . Al,

A. Gomez-marin, Causal circuit explanations of behavior: Are necessity and sufficiency necessary and sufficient?, Decoding neural circuit structure and function, pp.283-306, 2017.

A. Graves and A. Hinton, Speech recognition with deep recurrent neural networks, ICASSP 2013 -2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.6645-6649, 2013.

E. J. Henderson, Feature shuffling in Southeast Asian languages, Southeast Asian Linguistic Studies presented to André-G. Haudricourt, pp.1-22, 1985.

N. Hjortnaes, N. Partanen, M. Rießler, &. Francis, and M. Tyers, Towards a speech recognizer for Komi, an endangered and lowresource Uralic language, Proceedings of the Sixth International Workshop on Computational Linguistics of Uralic Languages, pp.31-37, 2020.

F. Hohman, A. Head, R. Caruana, R. Deline, &. Steven et al., Gamut: a design probe to understand how data scientists understand Machine Learning models, 2019.

G. Jacques and . Michaud, Approaching the historical phonology of three highly eroded Sino-Tibetan languages: Naxi, Na and Laze, Diachronica, vol.28, issue.4, pp.468-498, 2011.
URL : https://hal.archives-ouvertes.fr/halshs-00537990

. Jiang, F. F. Zhengbao, and . Xu, Araki & Graham Neubig. 2019. How can we know what language models know?

R. Jimerson, &. Prud, and . Hommeaux, ASR for documenting acutely under-resourced indigenous languages, Proceedings of LREC 2018 (Language Resources and Evaluation Conference, pp.4161-4166, 2018.

J. Kahn, M. Rivière, W. Zheng, E. Kharitonov, Q. Xu et al., Ronan Collobert & Christian Fuegen, Libri-Light: a benchmark for ASR with limited or no supervision, 2019.

J. Kuang, Creaky voice as a function of tonal categories and prosodic boundaries, Proceedings of Interspeech 2017, pp.3216-3220, 2017.

S. Lapuschkin, S. Wäldchen, A. Binder, G. Montavon, W. Samek et al., Unmasking Clever Hans predictors and assessing what machines really learn, Nature communications, vol.10, issue.1, p.1096, 2019.

L. Lidz, Austin: University of Texas, Department of linguistics Ph, 2010.

R. Automatique,

B. Lindblom, Explaining phonetic variation: a sketch of the H&H theory, Speech production and speech modelling, pp.403-439, 1990.

P. Littell, A. Kazantseva, R. Kuhn, A. Pine, A. Arppe et al., Indigenous language technologies in Canada: Assessment, challenges, and successes, Proceedings of the 27th International Conference on Computational Linguistics, pp.2620-2632, 2018.

J. H. Martin and . Daniel-jurafsky, Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition, 2009.

B. Michailovsky, M. Mazaudon, A. Michaud, and S. Guillaume, Documenting and researching endangered languages: the Pangloss Collection. Language Documentation and Conservation 8, pp.119-135, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-01003734

A. Michaud, Phonemic and tonal analysis of Yongning Na. Cahiers de linguistique, Asie Orientale, vol.37, issue.2, pp.159-196, 2008.
URL : https://hal.archives-ouvertes.fr/halshs-00358610

A. Michaud, Monosyllabicization: patterns of evolution in Asian languages, Monosyllables: from phonology to typology, pp.115-130, 2012.
URL : https://hal.archives-ouvertes.fr/halshs-00436432

A. Michaud, Dictionnaire na-chinois-français, 2015.

A. Michaud, Tone in Yongning Na: lexical tones and morphotonology (Studies in Diversity Linguistics 13), 2017.

A. Michaud, O. Adams, T. Cohn, G. Neubig-&-séverine, and G. , Integrating automatic transcription into the language documentation workflow: experiments with Na data and the Persephone toolkit. Language Documentation and Conservation 12, pp.393-429, 2018.
URL : https://hal.archives-ouvertes.fr/halshs-01841979

A. Michaud, O. Adams, C. Cox-&-séverine, and G. , Phonetic lessons from automatic phonemic transcription: preliminary reflections on Na (Sino-Tibetan) and Tsuut'ina (Dene) data, Proceedings of ICPhS XIX (19th International Congress of Phonetic Sciences, 2019.
URL : https://hal.archives-ouvertes.fr/halshs-02059313

A. Michaud, O. Adams, S. Guillaume-&-guillaume, and . Wisniewski, Analyse d'erreurs de transcriptions phonémiques automatiques d'une langue « rare » : le na (mosuo), Actes de la 6e conférence conjointe Journées d'Études sur la Parole, Traitement Automatique des Langues Naturelles, Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, pp.451-462, 2020.

A. Michaud, S. Guillaume, G. Jacques, ?. M?c, and M. Jacobson, Contribuer au progrès solidaire des recherches et de la documentation : la Collection Pangloss et la Collection AuCo, Actes de la conférence conjointe JEP-TALN-RECITAL 2016, vol.1, pp.155-163, 2016.

A. Michaud, A. Hardie, and S. Guillaume-&-martine-toda, Combining documentation and research: Ongoing work on an endangered language, Proceedings of IALP 2012 (2012 International Conference on Asian Language Processing, pp.169-172, 2012.
URL : https://hal.archives-ouvertes.fr/halshs-00731261

G. Montavon, W. Samek, and &. Müller, Methods for interpreting and understanding deep neural networks, Digital Signal Processing, vol.73, pp.1-15, 2017.

D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek et al., The Kaldi speech recognition toolkit, IEEE 2011 workshop on automatic speech recognition and understanding, 2011.

. Pratap, A. Vineel, Q. Hannun, J. Xu, J. Cai et al., Vitaliy Liptchinsky & Ronan Collobert, The fastest open-source speech recognition system, vol.2, 2018.

M. Rivière and A. Joulin, Pierre-Emmanuel Mazaré & Emmanuel Dupoux. 2020. Unsupervised pretraining transfers well across languages

S. Schneider and A. Baevski, Ronan Collobert & Michael Auli. 2019. wav2vec: Unsupervised pre-training for speech recognition

B. Shao and . Ridouane, La « voyelle apicale » en chinois de Jixi : caractéristiques acoustiques et comportement phonologique, XXXIIe Journées d'Études sur la Parole, pp.685-693, 2018.

T. Shi, S. Kasahara, T. Pongkittiphan, and N. Minematsu, A measure of phonetic similarity to quantify pronunciation variation by using ASR technology, Proceedings of the 18th International Congress of Phonetic Sciences, 2015.

R. Automatique,

M. Sims, Vowel space in the Athabaskan language of Tsuut'ina: Vowel shift in language attrition, Proceedings of the Conference on the Endangered Languages and Cultures of Native America, vol.1, 2010.

M. Sims, Acoustic phonetic analysis as a means of defining the phonemic inventory: Evidence from the vowel space of Tsuut'ina. Rochester Working Papers in the, Language Sciences, vol.6, pp.1-18, 2011.

C. Soria, L. Besacier-&-laurette, and . Pretorius, Sustaining knowledge diversity in the digital age, Proceedings of the LREC 2018 Workshop "Collaboration and Computing for Under-Resourced Languages" (CCURL2018). Miyazaki: ELRA, 2018.

I. Stavness and B. Gick, Biomechanical modeling of English /r/ variants, The Journal of the Acoustical Society of America, vol.131, issue.5, 2012.

N. Thieberger, LD&C possibilities for the next decade. Language Documentation and Conservation 11, pp.1-4, 2017.

N. Tomashenko and . Estève, Impact des techniques d'adaptation au locuteur dans l'espace des paramètres pour des modèles acoustiques purement neuronaux, XXXIIe Journées d'Études sur la Parole, pp.559-567, 2018.

J. Vaissière, Contribution à la synthèse par règles du français, 1971.

J. Vaissière, The perception of intonation, Handbook of Speech Perception, pp.236-263, 2004.

J. Vaissière, On the acoustic and perceptual characterization of reference vowels in a cross-language perspective, Proceedings of ICPhS XVII. Hong Kong, 2011.

J. Vaissière, Proposals for a representation of sounds based on their main acoustico-perceptual properties, Tones and Features, pp.306-330, 2011.

A. Vasile, S. Guillaume, M. Aouini, and A. Michaud, Le Digital Object Identifier, une impérieuse nécessité ? L'exemple de l'attribution de DOI à la Collection Pangloss, archive ouverte de langues en danger. I2D -Information, données & documents, 2020.

S. Watanabe, T. Hori, S. Karita, T. Hayashi, J. Nishitoba et al., ESPnet: End-to-end speech processing toolkit, 2018.

. Michaud and . Al,

G. Wisniewski, S. Guillaume, and A. Michaud, Phonemic transcription of low-resource languages: To what extent can preprocessing be automated?, Proceedings of the 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, pp.306-315, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02513914

M. Wu and F. Liu-&-trevor-cohn, Evaluating the utility of handcrafted features in sequence labelling, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp.2850-2856, 2018.