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Paper Citation Record · LEDGER

Prominence-aware automatic speech recognition for conversational speech

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.10116.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.10116 v1

Coverage vector

measured 25 of 25 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T18:11:17.778258Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation 28d5c376-de19-43ae-80aa-0fbd64522cbc · outbound

This paper cites Unsupervised Cross-lingual Representation Learning for Speech Recognition.

Prominence-aware automatic speech recognition for conversational speech Unsupervised Cross-lingual Representation Learning for Speech Recognition

Reference 1

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Observation d96c1d31-8c3b-4f38-bf1b-22039dff1699 · outbound

This paper cites Materials and Methods 2.1.1.

Prominence-aware automatic speech recognition for conversational speech Materials and Methods 2.1.1

Reference 2

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Observation 308094a1-df7f-4ebc-8426-4258e4575a4b · outbound

This paper cites Materials and Methods 3.1.1.

Prominence-aware automatic speech recognition for conversational speech Materials and Methods 3.1.1

Reference 3

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Observation e3a41006-4476-409f-8255-1ba779f93943 · outbound

This paper cites Table 3: Concept of character-based prominence-aware ASR training.

Prominence-aware automatic speech recognition for conversational speech Table 3: Concept of character-based prominence-aware ASR training

Reference 4

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Observation 4e9febed-2f0b-4d8c-b6b7-cff560251965 · outbound

This paper cites an unresolved cited work.

Prominence-aware automatic speech recognition for conversational speech Unresolved cited work

Reference 5

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doi, observed 2026-08-04T18:14:06.601897Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6d0deed7-0bf6-4b40-902d-a9ac84dce6e1 · outbound

This paper cites Great expectations - introspective vs. perc eptual prominence ratings and their acoustic correlates,.

Prominence-aware automatic speech recognition for conversational speech Great expectations - introspective vs. perc eptual prominence ratings and their acoustic correlates,

Reference 6

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Observation 273e4e96-4044-4613-88bb-3c8325bb649f · outbound

This paper cites ANALOR . A tool for semi-automatic annotation of French prosodic stru cture,.

Prominence-aware automatic speech recognition for conversational speech ANALOR . A tool for semi-automatic annotation of French prosodic stru cture,

Reference 7

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Observation 8933b4b9-b74d-4004-a783-9e7912c960d5 · outbound

This paper cites Automatic pros odic event detection using acoustic, lexical, and syntactic evi dence,.

Prominence-aware automatic speech recognition for conversational speech Automatic pros odic event detection using acoustic, lexical, and syntactic evi dence,

Reference 8

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Observation 00659999-336c-465b-bffd-c540294688ef · outbound

This paper cites Automat ic labelling of prosodic prominence, phrasing and disfluencie s in French speech by simulating the perception of na¨ ıve and exp ert listeners,.

Prominence-aware automatic speech recognition for conversational speech Automat ic labelling of prosodic prominence, phrasing and disfluencie s in French speech by simulating the perception of na¨ ıve and exp ert listeners,

Reference 9

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Observation 885c5367-ccc0-42bb-8fa5-028bab01a64e · outbound

This paper cites Using word-level f eatures for prosodic prominence detection in conversational speec h,.

Prominence-aware automatic speech recognition for conversational speech Using word-level f eatures for prosodic prominence detection in conversational speec h,

Reference 10

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Observation 933f9211-6078-4be4-9810-5a65df1c94ce · outbound

This paper cites A corpus of r ead and conversational Austrian German,.

Prominence-aware automatic speech recognition for conversational speech A corpus of r ead and conversational Austrian German,

Reference 11

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Observation 8737e2c7-935b-439b-8fc0-3d638b737fd3 · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Prominence-aware automatic speech recognition for conversational speech Wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 12

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Observation 93205761-73be-4022-a3a8-2726bcf65814 · outbound

This paper cites Phonemic competit ion in end-to-end ASR models,.

Prominence-aware automatic speech recognition for conversational speech Phonemic competit ion in end-to-end ASR models,

Reference 13

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Observation 92b3a8b1-aa0f-41d5-860d-703eb3d3bdea · outbound

This paper cites The processing of s tress in end-to-end automatic speech recognition models,.

Prominence-aware automatic speech recognition for conversational speech The processing of s tress in end-to-end automatic speech recognition models,

Reference 14

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Observation a277c3f8-09ea-4953-9a7f-ce11769fd8d7 · outbound

This paper cites Detection of prosodic boundaries in speech using wav2vec 2.0,.

Prominence-aware automatic speech recognition for conversational speech Detection of prosodic boundaries in speech using wav2vec 2.0,

Reference 15

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Observation d25f4b1c-ebca-4877-bbf5-f253bb49e159 · outbound

This paper cites Unsupervised Cross-Lingual Representation Lear ning for Speech Recognition,.

Prominence-aware automatic speech recognition for conversational speech Unsupervised Cross-Lingual Representation Lear ning for Speech Recognition,

Reference 16

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Observation f82001dd-4532-4d8d-bbe5-33a02686b676 · outbound

This paper cites What do self-supervised speech representat ions encode? An analysis of languages, varieties, speaking styl es and speakers,.

Prominence-aware automatic speech recognition for conversational speech What do self-supervised speech representat ions encode? An analysis of languages, varieties, speaking styl es and speakers,

Reference 17

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Observation 4024b342-e859-44ba-a0b0-11be9f2c5a95 · outbound

This paper cites What’s so complex about conversational spee ch? prosodic prominence and speech recognition challenges,.

Prominence-aware automatic speech recognition for conversational speech What’s so complex about conversational spee ch? prosodic prominence and speech recognition challenges,

Reference 18

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Observation 7b63d54f-70ad-42af-83da-c15af39fec09 · outbound

This paper cites GRASS: The Graz corpus of Read And Spon- taneous Speech,.

Prominence-aware automatic speech recognition for conversational speech GRASS: The Graz corpus of Read And Spon- taneous Speech,

Reference 19

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Observation 3ff1bd49-23ec-4c8c-a7c0-90d7d8d1a663 · outbound

This paper cites A corpus ofread and conversational Austrian German,.

Prominence-aware automatic speech recognition for conversational speech A corpus ofread and conversational Austrian German,

Reference 20

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Observation 123aa144-9dd1-49ba-a9df-c35b5f3f6f41 · outbound

This paper cites The Kiel Intonation Model – KIM,.

Prominence-aware automatic speech recognition for conversational speech The Kiel Intonation Model – KIM,

Reference 21

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Source-reported events for the cited work

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Observation 8a348ad4-9572-4d1a-a656-abeb7ac539a9 · outbound

This paper cites Con- nectionist temporal classification: Labelling unsegmente d se- quence data with recurrent neural networks,.

Prominence-aware automatic speech recognition for conversational speech Con- nectionist temporal classification: Labelling unsegmente d se- quence data with recurrent neural networks,

Reference 22

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Observation 9d1c5d41-ff8b-4f44-b819-b67f64260cc2 · outbound

This paper cites Using Kaldi for Automatic Speech Recognition of Conversational Austrian German.

Prominence-aware automatic speech recognition for conversational speech Using Kaldi for Automatic Speech Recognition of Conversational Austrian German

Reference 23

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Observation b6328641-e2ea-47d1-9858-3f43888e5020 · outbound

This paper cites KenLM: Faster and smaller language model queries,.

Prominence-aware automatic speech recognition for conversational speech KenLM: Faster and smaller language model queries,

Reference 24

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Observation 62d573f7-20b8-4fb8-be94-815464d72c2c · outbound

This paper cites The impact of wo rd alignment accuracy on audio-visual word prominence detect ion,.

Prominence-aware automatic speech recognition for conversational speech The impact of wo rd alignment accuracy on audio-visual word prominence detect ion,

Reference 25

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Pith citing papers

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