News
Tesla audio partner DSP Concepts discusses noise cancellation tech & the future of sound in autonomous cars
Sound might play a bigger role in the auto industry with the advent of the electric cars and the age of autonomous vehicles dawning. Tesla’s audio partner DSP Concepts (DSPC) knows a lot about sound and how big of a role it plays in everyday life. Teslarati spoke with part of the DSP Concepts team, who revealed the significance of sound in vehicles, especially as the electric car revolution starts to hit its stride.
“It turns out a car is your most complicated audio product,” said Chin Beckmann, the co-founder and CEO of DSP Concepts. Beckmann described all the ways audio and sound play a part in how people interact with their vehicles, like phone calls, voice commands, or simple in-car communication from driver to passenger and vice versa.
Engine noise cancellation is a feature that interests traditional cars owners as well. Inversely, for electric car owners, engine noise enhancements or noisemakers have become a sought after feature, particularly in the United States where it is mandatory for EVs.

Tesla probably contributed to the popularity of noisemakers in vehicles with its recently-released Boombox feature, which allows drivers to play sounds through an external speaker. Funnily enough, EV owners seeking to increase the noise coming out of their vehicles, may also be looking for ways to decrease the sounds coming into their cars.
“There’s a lot of interest in road noise cancellation from EVs,” said Dr. Paul Beckmann, founder and CTO of DSP Concepts.
Last month, DSP Concepts announced that Audio Weaver would port Bose’s QuietComfort Road Noise Control (RNC) technology into its platform. The collaboration meant that car companies using the Audio Weaver platform, like Tesla, Porsche, or BMW, could offer Bose’s QuietComfort RNC to their vehicles.

Dr. Beckmann clarified, however, that some hardware needs to be integrated into the vehicle for the Bose QuietComfort RNC to work.
“The way the RNC works is it uses microphones inside the car to listen. It’s kind of like those active noise cancelling headphones. The headphones have microphones close by your ears. So [for] the retrofit, you’d have to put microphones, maybe, by the headrest or somewhere close to your ears,” he shared with Teslarati.
Dru Wynings, Sr. Director of Marketing at DSP Concepts, added that some sensors would probably be needed in the car’s chassis as well. He also talked about the complexities of bringing Bose’s QuietComfort RNC to vehicles.
“There’s a huge hardware component to it in terms of how much computation is needed, in terms of what their audio sound system is…all of that could take a toll. So, [automakers are] planning on what could actually fit on this specific chip to run this software,” said Wynings.
DSP Concepts did not reveal any details about Bose RNC coming to Tesla vehicles. There’s really no telling what features Tesla will roll out to its vehicles at the end of the day.
However, the possibility is very high. It isn’t too far-fetched to think that Tesla might have already equipped its vehicles with the necessary hardware for features like Bose’s QuietComfort RNC, especially considering the upcoming release of the much-anticipated Model S and Model X refresh. The company already did something similar with its in-cabin camera. The hardware for the camera feature was equipped well before it was enabled via an OTA software update.
Road noise cancellation seems like a premium feature that could be available for Tesla’s top-tier vehicles, like the Model S and Model X. Or Tesla may roll out the Bose RNC feature to its entire fleet in a later update. After all, the Model 3 just had a refresh as well.
Sound in Autonomous Vehicles
Aside from Tesla, DSP Concepts works with an array of automakers in the industry, both old and new companies. The company’s main goal is to bring audio engineering into the 21st century with the help of Audio Weaver.
When it comes to the auto industry, DSPC seems very aware of how audio in cars will evolve as autonomy enters the industry. It has become evident that car companies, both legacy and startups, have started producing more tech-savvy vehicles.
Tesla vehicles might be the most tech-savvy cars on the market. The EV manufacturer’s cars incorporate technology that people might look for in their vehicles now, like Netflix, Spotify, or even Caraoke. Yes, these features might not be necessary, but the same argument could be made for phones, laptops, or other devices.

People can do much more than call others with their phones now. They can watch their favorite shows, listen to music, search the internet and much, much more. People seem to want their tech to be well-rounded, so why not their vehicles?
Other car makers seem to be following Tesla’s footsteps. In addition to making more tech-oriented vehicles, more auto companies are also exploring autonomous cars.
With autonomy in the picture, features like Tesla Theater or Tesla Arcade will be more utilized and with that comes the significance of sound. DSP Concepts understands that people might start looking for better sound quality in their autonomous vehicles as more entertainment options are offered by car companies.
The Teslarati team would appreciate hearing from you. If you have any tips, email us at tips@teslarati.com or reach out to me at maria@teslarati.com.
Elon Musk
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
Investor's Corner
SpaceX makes $20 billion move to optimize its balance sheet
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.