Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:28:30.335196Z
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:1909.01167.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:28:30.335196Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:28:30.088108Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T05:28:30.370351Z
13 of 13 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4322b3cf-957b-4e7c-8479-1f3334f73d5f · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals ASR software is generally trained with speech samples from hearing people, which re- sults in very poor recognition of deaf speech
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 37e99ffc-886d-4b8e-8eb5-46bad682004c · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13fc09e2-a5fa-4db3-a13c-4074ffb24e79 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals The average WER was 18%
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 397bf0f0-3953-4cb5-bd05-01b758bbbdf8 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals They were significantly poorer in perfor- mance compared to hearing people under similar conditions
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f453be37-59e1-414e-a5f6-9499f9e715b0 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4de911ec-7d88-430f-8109-b2aae3f4b892 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Osberger and Nancy S
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3fe119ce-2da0-4074-95dc-ed2e7d000086 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Deaf speech assessment using digital processing techniques
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 34959e7f-1378-4cca-83cd-710de59afbea · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Phonetically sensitive discriminants for improved speech recognition
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5a5e1506-e178-4970-9ac8-56ea5a50b235 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Samar and Dale Evan Metz
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e464461e-2010-47ee-ba1f-2b7830f99c25 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Microsoft researchers achieve speech recognition milestone, Sep 2016
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f0ec59a3-d575-47c8-b6b5-7aa4b49612be · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c7cf7f31-b29d-436d-b0ae-e863063031fe · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Reaching new records in speech recognition, Mar 2017
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 192bc699-12f3-4600-92fd-848bcbc347a1 · outbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 37e99ffc-886d-4b8e-8eb5-46bad682004c · inbound
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.