Spanish Wake-Word Android Library

@infowider11

***** Offline Spanish Wake-Word Detection Library for Android **** Hello. How are you? I will deliver a lightweight, fully offline Android wake-word library optimized for neutral Latin-American Spanish, designed for real-time performance and low power usage on mid-range devices (minSdk 23). The library will be packaged as an AAR/Maven-ready module with a simple start/stop API and a clean callback that triggers your voice-assistant logic the moment the keyword is detected. • Continuous offline wake-word listening (Spanish only) • Low-power audio processing loop • Fast callback on detection (no cloud dependency) • Noise-tolerant, consumer-grade accuracy • Replaceable keyword model Let’s chat.. Thanks

@corpmember29

HELLO, I HAVE REVIEWED YOUR REQUIREMENTS AND CLEARLY UNDERSTAND THAT YOU NEED A LIGHTWEIGHT, OFFLINE ANDROID WAKE-WORD LIBRARY IN SPANISH THAT RUNS CONTINUOUSLY IN LOW-POWER MODE AND TRIGGERS A CALLBACK WHEN THE KEYWORD IS DETECTED. I HAVE 10+ YEARS OF EXPERIENCE IN ANDROID AND ON-DEVICE AUDIO / ML SYSTEMS, INCLUDING KEYWORD SPOTTING AND REAL-TIME SIGNAL PROCESSING. I CAN DELIVER A PRACTICAL, CONSUMER-GRADE SOLUTION FOCUSED ON LOW LATENCY, STABILITY, AND BATTERY EFFICIENCY RATHER THAN RESEARCH-LEVEL COMPLEXITY. TECHNICAL APPROACH: ON-DEVICE, FULLY OFFLINE KEYWORD SPOTTING ENGINE OPTIONS: TENSORFLOW LITE (OR TFLITE MICRO) OR POCKETSPHINX-STYLE PHONETIC MODELS MODEL TRAINED FOR NEUTRAL LATIN-AMERICAN SPANISH PHONEMES (NOT ENGLISH-BIASED) CONTINUOUS LISTENING WITH LOW-POWER AUDIO PIPELINE REAL-TIME PROBABILITY SCORING + CALLBACK TRIGGER DELIVERABLES: ANDROID AAR / MAVEN-READY LIBRARY (minSdk 23) SIMPLE KOTLIN OR JAVA DEMO APP (START/STOP, PERMISSIONS, CALLBACK) CLEAR README WITH MODEL TRAINING / KEYWORD SWAP INSTRUCTIONS IF REQUIRED, I CAN TRAIN USING EXISTING SPANISH KEYWORD DATASETS (COMMON VOICE / CUSTOM COLLECTION) OR SYNTHETIC AUGMENTATION TO BALANCE ACCENTS AND BACKGROUND NOISE. THE SYSTEM WILL BE TESTED FOR LATENCY, FALSE TRIGGERS, AND REAL-WORLD NOISE CONDITIONS. I AM COMFORTABLE WITH YOUR TESTING CRITERIA AND CAN PROVIDE SOURCE CODE AND FULL INTEGRATION SUPPORT. I EAGERLY AWAIT YOUR POSITIVE RESPONSE. THANKS

@Julian29

Hi There !! After reading your request, I found it to be rather intriguing. I can provide timely, high-quality assistance for your project as a senior full stac k engineer. Let's talk further when we speak over the phone or chat. Awaiting for your positive response. Thanks

@efanntyo

Hello muninAleph Thanks for posting this exciting project, I am really interested in your project. Because I am working on 7 years over with Mobile App Development, Android, Neural Networks, Kotlin, Audio Processing, API Development, I can provide good result in your needed timeline. I am looking forward to discussing more with you soon. Regards Efanntyo -.

@nikhilgarg96

Hello, I am really excited about the opportunity to collaborate with you on this project! It aligns perfectly with my skill set and experience, and I’m confident I can contribute meaningfully to your vision. I genuinely enjoy working on projects like this, and I believe we can create something both functional and visually engaging. Please feel free to check out my profile to learn more about my past work and client feedback. I’d love to connect and discuss the project details further your goals, expectations, and any specific features or ideas you have in mind. The more I understand your vision, the better I can bring it to life. I am ready to get started right away and will put my full energy and focus into delivering quality results on time. My goal is not just to complete the project, but to exceed your expectations and build a long-term working relationship. Looking forward to hearing from you soon! With regards! Nikhil

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With over 10 years of experience in mobile app development, I possess the expertise to create a lightweight Android library that effectively listens for your specified wake-word in Spanish. I understand the importance of practical performance and can ensure moderate accuracy suitable for consumer-grade devices. I can utilize frameworks like TensorFlow Lite Micro or PocketSphinx to develop a library packed in an AAR, complete with a simple API call and low-power mode functionality. Furthermore, I’ll provide a sample app demonstrating permissions and callback actions as well as a comprehensive README for future keyword changes. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m eager to learn more about your project. Could you clarify: What specific wake-word are you considering for the library, and do you have preferences for voice model datasets? Let’s discuss over chat! Regards, Arpit Jaiswal

@techplusintl

Hi there, ★★★ Mobile App Development / API Development Expert ★★★ 10+ Years of Experience ★★★ To complete this project, I will develop a lightweight Android library that listens for a wake-word in Spanish and triggers a voice-assistant module. The process will involve the following steps: 1. Research and select the best approach (TensorFlow Lite Micro, PocketSphinx, etc.) for wake-word detection - 10 hours 2. Develop the core library functionality to listen for the wake-word and handle callbacks - 15 hours 3. Create a sample app in Kotlin or Java demonstrating the library’s usage, including permission handling - 10 hours 4. Write a clear README that includes model training steps for future keyword swapping - 5 hours 5. Test the library on multiple devices and optimize performance based on feedback - 10 hours What I need from you: 1. Confirmation of the desired wake-word in neutral Latin-American Spanish 2. Any specific requirements for the sample app or additional features 3. Access to any existing datasets you may have or guidance on how to collect training data I look forward to connecting at your convenience to ensure the project's success. Best Regards, TechPlus Team

@rbtech1984

Hello There!!! ⚜️⭐⭐⭐⭐⚜️(( Lightweight Spanish wake-word library for real-time Android voice assistant triggering ))⚜️⭐⭐⭐⭐⚜️ You need an offline Android library that continuously listens for a single Spanish wake-word, triggers a callback for your assistant, and remains efficient on mid-range devices. Accuracy should match consumer-level expectations, and the library must be easy to integrate. I have experience building mobile audio-processing modules with Kotlin/Java, implementing neural network inference on-device, and designing modular SDKs for Android. I can provide a ready-to-drop AAR, sample app, and clear README for keyword updates. Three key features: • Offline, low-power wake-word detection in neutral Latin-American Spanish • Simple API with start/stop and callback handling • Sample app with permission management and integration guide I am ready to deliver a fully functional library optimized for Android. Let us discuss your preferred engine and training data approach. Warm Regards, Farhin B.

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@mahig47

Hello! As per your project post, you are looking to build a lightweight Android library that continuously listens for a single wake-word in Spanish and triggers your voice-assistant module. The goal is a practical, offline solution that works in real-time with moderate accuracy, supporting neutral Latin-American Spanish pronunciation, and can be easily integrated into any Android Studio project. My focus will be on delivering a compiled AAR or Maven library with a simple API for start/stop functionality, low-power continuous listening, and a callback when the wake-word is recognized. I will provide a Kotlin or Java sample app demonstrating permission handling and the callback in action, along with a clear README explaining model setup and training so you can swap keywords in the future. The library will be fully offline, compatible with minSdk 23, and optimized for performance and reliability. I specialize in Android development with experience in on-device speech recognition, TensorFlow Lite Micro, PocketSphinx, and custom neural nets. My approach ensures smooth integration, low resource usage, and straightforward customization for different wake-words. Let’s connect to review your integration needs, keyword requirements, and usage scenarios so we can deliver a reliable, fully offline wake-word library for your Android app. Best regards, Nikita Gupta.

@juanjosec63

Hello, I can build a lightweight offline wake-word library for Android (minSdk 23) packaged as an AAR/Maven artifact, with a simple startListening() / stopListening() API and a callback when the Spanish keyword is detected. The cleanest approach for low power + fast latency is a TFLite keyword spotter using MFCC features (streaming 16 kHz audio) and a small CNN/DS-CNN model tuned specifically for neutral LATAM Spanish phonetics, so it won’t behave like an English phoneme model. I’ll ship the library + a Kotlin demo app that handles mic permissions, background/foreground behavior, and shows detection events in real time, plus a README that documents how to retrain and swap the keyword later (data prep, augmentation, model export to TFLite, and threshold calibration). For training data, if you don’t already have recordings, I’d start with a small set of your target phrase spoken by multiple LATAM speakers and expand via augmentation (room impulse responses, noise mixing, speed/pitch variation) to hit your “living-room” test conditions without needing cloud calls. The result will be practical and stable: low latency, configurable sensitivity, and a false-trigger rate you can tune per device. Best regards, Juan

@leciffre69

Timeline: 14 days | Cost: $600 | Availability: 12h/day, ready to start today ❤️ Hello I’ve solved this exact problem before and can deliver an offline Spanish wake-word Android library in 14 days. I have already reviewed your description fully and your main issue is reliable keyword detection in neutral Spanish without cloud dependency or battery drain. In similar projects, I handled large-scale audio detection tasks where overlap was the biggest risk, such as scraping multi-location directories where the same domain appears repeatedly. To solve this, I use targeted feature extraction, normalization, and strict deduplication so every trigger you receive is unique, relevant, and ready for use. This directly supports low false-positives and fast callbacks. To move forward, could you clarify: • Target wake-word phrase • Preference for Kotlin or Java samples • Any existing Spanish audio data Looking forward to discussing more in detail on chat!

@jovani81

Hi, I’m an AI engineer who built an offline wake word engine for a Spanish smart home app using TFLite Micro and custom MFCC features. We solved false triggers and accent drift by augmenting Latin American speech data and tuning threshold logic. I can deliver an AAR library, demo app, and retrainable pipeline for your Android assistant.

@abdulhamidh2

Hello, I’m excited about the opportunity to develop your lightweight Android library for wake-word detection in Spanish! With a strong background in Android development and experience with voice recognition technologies like TensorFlow Lite and PocketSphinx, I can deliver a solution that meets your needs for moderate accuracy and offline performance. I can provide a compiled library ready for Android Studio, along with a Kotlin or Java sample app that demonstrates the start/stop functionality, permission handling, and the callback mechanism. I am also prepared to create a clear README for model training steps, ensuring you can easily swap in new keywords later. I have access to a Spanish dataset that aligns with your requirements, and I will implement a straightforward approach for training the model to ensure it recognizes the wake-word effectively. I’m available to start immediately and look forward to discussing this project further! Best, Abdulhamid

@codefusion53

Hi, I can develop a lightweight Android library that continuously listens for a single wake-word in Spanish and triggers your voice-assistant module reliably on-device. The library will run fully offline, consume minimal power, and provide a simple API to start, stop, and receive callbacks whenever the wake-word is detected. I can implement it in Kotlin or Java with a sample app demonstrating permissions, start/stop, and callback handling. The solution can use TensorFlow Lite Micro, PocketSphinx, or a custom neural network optimized for neutral Latin-American Spanish, and I can provide guidance on collecting or synthesizing training data if needed. The final deliverable will be a ready-to-use AAR or Maven package, fully documented, with clear instructions for swapping in new keywords in the future. Performance will be tested on mid-range devices to ensure low latency, good detection rate, and minimal false triggers. Best, Justin

@DigitalNightOwl8

Hello Mate!Greetings , Good evening! I am skilled mobile software engineer with skills including Audio Processing, Kotlin, Neural Networks, API Development, Mobile App Development and Android. Please send a message to discuss more about this project. Thank you

@MIndlabsAi6

Hello muninAleph, I am Vishal Maharaj, a seasoned professional with 20 years of experience in API Development, Android, and Mobile App Development. I have carefully reviewed the requirements for the project and am confident in my ability to deliver a high-quality solution. To create the Spanish Wake-Word Android Library, I propose using a combination of TensorFlow Lite Micro for efficient on-device processing and a custom neural net trained specifically for neutral Latin-American Spanish pronunciation. The library will be packaged as an AAR or Maven package with a simple API for easy integration into any Android Studio project. I will provide a Kotlin or Java sample app demonstrating the library's functionality, along with a detailed README for easy implementation and future keyword updates. I am prepared to conduct thorough testing on various devices to ensure optimal performance. Please feel free to initiate a chat to discuss the project further. Cheers, Vishal Maharaj

@billybryan98

Hello, I hope you are doing well. I help teams ship offline, real-time wake-word features for Android. With experience in on-device audio processing and lightweight inference engines, I design tiny models and simple APIs that run without cloud calls. In past work, I’ve built micro wake-word libraries and Kotlin/Java sample apps delivered as drop-in AARs, with clear start/stop APIs, permission handling, and a README explaining how to train or swap keywords. I guarantee clean integration and reliable offline performance on mid-range phones. I can deliver a drop-in library (minSdk 23) with a simple API, offline engine options (TensorFlow Lite Micro, PocketSphinx, Snowboy-style or custom nets), and a README detailing how to train or replace the wake-word. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@mayankinnovative

Hello, LIMITED SPEECH ACTIVATION SUPPORT IN SPANISH Your project needs an Android wake-word detection library that responds accurately to Spanish voice triggers, but without a robust Spanish wake-word model and efficient background audio processing, the feature may be unreliable, laggy, or insensitive — reducing usability and frustrating users. SPANISH WAKE-WORD ANDROID LIBRARY DEVELOPMENT I will develop a Spanish wake-word detection library for Android using Kotlin and proven speech/ML frameworks (such as TensorFlow Lite, Snowboy alternatives, or custom trained models). This includes training or selecting a reliable Spanish wake-word model, integrating it efficiently with Android audio capture, handling continuous listening in a battery-efficient way, and delivering callbacks when the wake-word is detected. I will optimize for low latency, minimal CPU/memory usage, and compatibility with modern Android versions. RELIABLE SPANISH VOICE ACTIVATION WITH LOW LATENCY The result will be a polished Android library that reliably detects your specified Spanish wake-word in real time, works efficiently in the background, and integrates easily into your app. Users will enjoy quick, accurate voice activation that feels natural and responsive. Thank you