The Business Details That MatterAre Often Spoken
Calls capture details that forms often miss. Rudder Analytics builds speech recognition around your names and specialist terms. Text-to-speech gives your replies, alerts and instructions a natural voice.
Patient
I need a refill of my meta pro lolmetoprolol.
Voice reply
Is metoprolol the medication you need refilled?
Attorney
Draft a motion in lemonyin limine for the Hayes matter.
Voice reply
A motion in limine for the Hayes matter. Is that correct?
Picker
Picked 12 cases of bee ex forty-four tenBX-4410.
Voice reply
Twelve cases of BX-4410. Is that correct?
Caller
Hi, this is Chevonne KeenSiobhan Keane calling about my order.
Voice reply
Thanks, Siobhan. What is your order number?
Misrecognized termDomain term
The Hours Nobody Hears
Sales calls, support lines, patient visits and site walk-throughs produce hours of speech every day. Important details can be lost when a call ends or buried in recordings that take time to review.
Speech recognition turns those recordings into searchable text, so your team can find the passages that need attention.
2,100
audio hours per month
12
full-time months to listen at normal speed
Each square represents one full-time listening month.
Based on 25 separate streams with 4 audio hours each per day. Assumes 21 working days a month and 2,080 working hours a year. Count each recording once.
Automatic Speech Recognition (ASR)
A recording can do more than capture words. Speech recognition, specialist models and connected systems turn spoken details into records your team can use.
-
Voice-Activated Virtual Assistants & CRM Integration
Staff dictate call notes and follow-ups while the conversation is still fresh. The assistant prepares the entries in Salesforce or HubSpot for confirmation before saving.
-
Real-Time Automated Transcription & Voice-Controlled Inventory
Meetings, depositions and support calls turn into searchable text as they happen. On the warehouse floor, pickers confirm counts out loud and keep both hands on the stock.
-
Speaker Diarization & Speech Separation
Speaker labels show who spoke when in a transcript. When voices overlap, speech separation can help isolate them for clearer transcription or editing.
-
Voice-Authenticated Access Control & Voice-Based Security
Voice matching adds another check to your authentication process. The design combines consent-based enrollment, spoof detection and a separate verification factor.
-
Speech-Enabled Age, Gender, and Emotion Recognition
Speech analysis helps researchers explore patterns in customer interviews and surveys. Age, gender and emotion estimates add context to the words, but do not establish personal attributes or feelings as facts.
Caller: “Hi, it’s Dana Ruiz. I’d like to move to the business plan.” Agent: “I’ll set it up today.”
Text-to-Speech (TTS)
Text-to-speech gives digital content a natural voice, with pacing and pronunciation suited to the application. It makes information available to people who prefer or need to listen.
Interactive Voice Response (IVR) Systems
“Your balance is $1,284.16, due October 12.”
Phone menus read current account details from connected systems. Customers can hear routine information without waiting for an agent.
Automated Customer Support & Voice Alerts
“Your delivery is running 40 minutes late. It should arrive by 6:15.”
Order updates, appointment reminders and outage notices go out as spoken calls, built from data you already keep. Contact permissions and delivery rules are checked before outbound calls are placed.
Accessibility Tools for Visually Impaired Users
“New message from Alex: running late, save me a seat.”
Statements, messages and product pages can be heard as well as read. Audio playback gives customers with low vision another way to access their information independently.
Navigation & Smart Home Integrations
“In 500 feet, turn right into Dock 4.”
Directions, room controls and device status are spoken aloud. Drivers can hear guidance while navigating, and hotel guests receive spoken confirmation of room settings.
Digital Reading Aids & Language Learning Applications
“Listen, then repeat: thorough.”
Readers listen as each line is highlighted. Learners hear how a word is pronounced. Pronunciation assessment adds sound-by-sound feedback on their own attempt.
For a voice that holds a full two-way conversation, see Chatbot & Voicebot.
Results From 5 Speech Deployments
Less time reviewing transcripts. Clearer recordings. More engaged learners. Explore five speech engineering projects built around specific business needs.
-
Surgical CareOperating-Room Transcripts by Speaker
40%
less time reviewing surgical transcripts
Speaker diarization achieved a 4.3% error rate. Data-entry errors in the EHR fell 30%.
-
Language LearningPhoneme-Level Pronunciation Scoring
8%
higher user retention
Detailed pronunciation feedback helped learners identify the sounds they needed to practice. Engagement rose 12% and referrals 10%.
-
Podcast ProductionOverlapping Voices Split Into Clean Tracks
17%
time saved per recording session
Separating overlapping voices made recordings easier to work with. Audio quality improved 12%, and communication errors fell 14%.
-
TelehealthAge and Gender Detection From Speech
13%
increase in telehealth use
The speech model supported demographic data collection. Administrative costs fell 9%, and gender-classification accuracy reached 97% in testing.
-
Market ResearchEmotion Recognition in Survey Audio
15%
gain in campaign effectiveness
The model helped researchers explore emotional patterns in survey and focus-group audio. It classified eight emotion categories with 85% accuracy in testing.
How an Engagement Runs
A clear path from the first evaluation to everyday use.
-
01
Assessment
Testing starts with your recordings and text. Existing speech services are assessed first to see where they meet your needs and where custom work is needed.
Baseline performance -
02
Design & Build
Models are tuned on your vocabulary, accents and background noise. They run where your data rules allow: a cloud API, your own cloud account or servers you control.
Model evaluation -
03
Rollout & Adoption
The new system runs alongside your current process. Quality, response time and day-to-day usability are checked before the wider rollout.
Side-by-side results -
04
Run & Evolve
A shared dashboard tracks response times and recognition errors. Recurring problems guide vocabulary updates, configuration changes and model improvements.
Accuracy trend
Where Speech Pays Off First in Your Business
Find the task where speech could save your team time, and define what a successful first deployment would look like.

