How to Extract Insights from Contact Center Call Audio?

Identify practical use cases for AI.

Answer Correct answer: B — Amazon Transcribe converts the customer call audio into text, which can then be analyzed to extract key information.

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?

Build a conversational chatbot by using Amazon Lex.
Transcribe call recordings by using Amazon Transcribe. Correct Answer
Extract information from call recordings by using Amazon SageMaker Model Monitor.
Create classification labels by using Amazon Comprehend.

Community Insight

The question tests whether you match the AWS service to the input modality—audio—rather than only the end goal of extracting insights, and the trap is choosing a text-only NLP service.

Amazon Transcribe is the AWS service that converts contact center call recordings from speech to text, enabling downstream analysis and key information extraction from audio. This page explains why transcription is the required first step and why text-only NLP services are not sufficient here.

The most common wrong answer is D, Amazon Comprehend, because it extracts entities, sentiment, and key phrases, but it only works on text and cannot process customer call audio directly.

Community Discussion (17 comments)

75d0d0d 👍 1 Selected: B

L'entreprise souhaite analyser et extraire des informations clés à partir de l'audio des appels clients. Amazon Transcribe est le service AWS conçu spécifiquement pour la transcription automatique de la parole en texte (speech-to-text). De plus, Amazon Transcribe propose des fonctionnalités avancées comme Call Analytics, qui permettent d'extraire directement des insights pertinents des appels de centre de contact : sentiment du client, résumé de l'appel, détection de mots-clés, identification des locuteurs, etc. C'est donc la solution la plus directe et la plus adaptée pour traiter de l'audio et en tirer des informations exploitables.

QasimAWS 👍 1 Selected: B

Has to be B, and the transcriber's main function is to transcribe from Audio to Text.

QasimAWS 👍 2

Amazon Comprehend works on text, not raw audio. It requires transcription first.

heatblur 👍 3 Selected: D

Changing my answer to D: "Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to extract insights and information from text. It can identify key elements like entities (people, places, organizations), phrases, sentiment, and language, and is used for tasks such as voice of the customer analytics, semantic search, and knowledge discovery."

65703c1 👍 1 Selected: B

B is the correct answer.

GodPhlow 👍 3 Selected: D

Amazon Comprehend does the extraction of key items Transcribe only does speech to text

swadeey 👍 3

Comprehend is a Natural Language Processing (NLP) service that extracts insights from text. While it is often used after Transcribe, it cannot process the audio recordings directly as required by the prompt.

Jessiii 👍 3 Selected: B

Amazon Transcribe is a service designed to automatically convert audio (such as customer call recordings) into text. Once transcribed, the text can be further processed to extract key insights, such as customer intent, sentiment, and specific information (e.g., product details or requests). This aligns directly with the goal of analyzing and extracting key information from customer conversations.

85b5b55 👍 1 Selected: B

Transcribe support for speech to text - B

Moon 👍 6 Selected: B

B: Transcribe call recordings by using Amazon Transcribe. Explanation: Amazon Transcribe is designed for converting speech in audio files (such as customer calls) into text. This text can then be analyzed further to extract key information. It is the first step in gaining insights from audio conversations, making it the appropriate solution for the given requirement.

Bala416 👍 2 Selected: B

key word : FROM THE AUDIO OF THE CUSTOMER

PHD_CHENG 👍 2 Selected: B

B is correct. Question is related to audio to text. Amazon Transcribe fit on this aspect

eesa 👍 2

select B Amazon Transcribe is a service that converts audio into text, making it ideal for transcribing customer calls in a contact center. Once the audio is transcribed into text, you can further analyze the transcribed text to gain insights, such as identifying key information, customer sentiment, and specific topics discussed during the conversation.

Udyan 👍 1

Amazon Transcribe is designed specifically to convert audio to text, which is a necessary first step for gaining insights from customer conversations. Once transcribed, the text data can be further processed and analyzed for key information. Amazon Comprehend (option D) is useful for extracting insights from text, like sentiment analysis and entity extraction, but it only works on text data, not on audio files directly. So, Amazon Comprehend could be used after Amazon Transcribe has converted the audio to text, but it wouldn't be a standalone solution for handling the audio. So, it is B only

Soweetadad 👍 2

In real world, we would run transcribe first to convert the call to searchable text, and then run Comprehend to search and analyze for specific key words. Since the question is around analyize and extract key info, I will go for "D"

jove 👍 2 Selected: B

Transcribe

LR2023 👍 2 Selected: B

transcribe - Extract key business insights from customer calls, video files, clinical conversations, and more.

Comments & Corrections

No comments yet — spotted an error or have a note? Share it below.

Expert Analysis

Why the Answer Is Correct

Amazon Transcribe is purpose-built for automatic speech recognition and converts the audio from customer calls into text, which directly addresses the requirement to analyze audio conversations. Once the transcript exists, downstream tools can extract key information such as customer intent, product details, or topics. Because the source material is audio, Transcribe is the necessary first service in the pipeline. As Moon noted, Transcribe is "designed for converting speech in audio files" and is the first step in gaining insights from audio conversations.

Why the Other Options Are Wrong

Amazon Lex is used to build conversational chatbots and does not provide call-recording transcription for analysis. Amazon SageMaker Model Monitor tracks model quality and drift in deployed ML models; it does not extract information from call audio. Amazon Comprehend is an NLP service that works on text, so it cannot process raw audio recordings and would require transcription first. As swadeey pointed out, Comprehend "cannot process the audio recordings directly as required by the prompt."

Community Comment Notes

Moon and Jessiii support Amazon Transcribe because it converts speech to text so the resulting transcript can be analyzed. Bala416 emphasized the key phrase "FROM THE AUDIO OF THE CUSTOMER," which points directly to Transcribe rather than a text-only service. heatblur and GodPhlow favor Comprehend because it extracts key items, but their reasoning skips the fact that the input is audio. Soweetadad captured the real-world pipeline: "In real world, we would run transcribe first" and then use Comprehend for text analysis.

Official Reference

Exam Strategy

Match the service to the input type before the desired output: if the source is audio, start with Amazon Transcribe; if the source is already text, consider Amazon Comprehend. On AIF-C01, options that describe a valid later step can still be wrong when they cannot consume the original input.

Frequently Asked Questions

Why is Amazon Comprehend not the best choice for raw call audio?

Comprehend extracts entities, sentiment, and key phrases from text only; it cannot process audio recordings, so transcription with Transcribe must happen first.

Does Amazon Transcribe also extract sentiment and key entities?

Transcribe focuses on speech-to-text; deeper NLP extraction such as sentiment or entities is typically done afterward with a text service like Comprehend.

More AIF-C01 FAQ →

Related Analysis

Practice All AIF-C01 Questions

Access 100 questions with complete answers and detailed explanations.

View Full AIF-C01 Practice Test →

← Back to AIF-C01 Study Guide