Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…

In this study, I compare the accuracy of automatic speech recognition (ASR) transcription against two measures of intelligibility provided by human listeners. The data came from readings of five texts recorded by 15 language learners of French. Human understanding was gauged by (i) asking a group of 36 naïve first language (L1) speakers of French…

Purpose: This study examines the accuracy of Interaction Detection in Early Childhood Settings (IDEAS), a program that automatically transcribes audio files and estimates linguistic units relevant to speech-language therapy, including part-of-speech units that represent features of language complexity, such as adjectives and coordinating…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

Recent research has shown that incorrect statements in eyewitness testimonies contain more cues to effortful memory retrieval than correct statements. In two experiments, we attempted to improve judgments of testimony accuracy by informing participants about these effort cues. Participants read eyewitness testimony transcripts and judged statement…

Purpose: This study examined the accuracy and potential clinical utility of two expedited transcription methods for narrative language samples elicited from school-age children (7;5-11;10 [years;months]) with developmental language disorder. Transcription methods included real-time transcription produced by speech-language pathologists (SLPs) and…

Although language sample analysis (LSA) is considered an important tool for high-quality child language assessment, surveys have found that its use is quite limited by school-based speech-language pathologists (SLPs). Two of the reasons often cited are limited time and limited expertise (Kemp & Klee, 1997; Pavelko et al., 2016). This study…

The purpose of the study was to investigate the feasibility of streamlining the transcription and scoring portion of language sample analysis (LSA) through computer-automation. LSA is a gold-standard procedure for examining childrens' language abilities that is underutilized by speech language pathologists due to its time-consuming nature. To…

Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…

This article details the transcription process we developed to handle bimodal and multilingual interview data collected during our research into the teacher language awareness (TLA) of two high-quality teachers in a Swedish bilingual school for the deaf. Both teachers used a combination of spoken Swedish, spoken English, and Teckenspråk (Sweden's…

Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…

Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…

Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…

Given the importance of consultation in school psychology practice, more research is needed to examine the types of interpersonal communication through which consultation is effective. This study revisited Erchul and Schulte (1990), which investigated the amount of transcription and coding of consultation sessions required for reliable and…

To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…